diff --git a/.env.example b/.env.example
new file mode 100644
index 000000000..ebec48448
--- /dev/null
+++ b/.env.example
@@ -0,0 +1,4 @@
+# OpenRouter API Key
+# Get your API key at: https://openrouter.ai/
+# Make sure to purchase credits or enable automatic top-up
+OPENROUTER_API_KEY=sk-or-v1-...
diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md
new file mode 100644
index 000000000..a4a1d5472
--- /dev/null
+++ b/.github/copilot-instructions.md
@@ -0,0 +1,115 @@
+# LLM Council - AI Coding Agent Instructions
+
+## Project Overview
+
+LLM Council is a 3-stage deliberation system where multiple LLMs collaboratively answer questions via OpenRouter. Think "ChatGPT but with a panel of experts who debate and synthesize answers."
+
+**Available in Two Modes:**
+1. **Web Application**: Interactive React UI with FastAPI backend
+2. **MCP Server**: Model Context Protocol server for Claude Desktop, VS Code, etc.
+
+**Core Flow:**
+1. **Stage 1**: Parallel queries to all council models (defined in [backend/config.py](../backend/config.py))
+2. **Stage 2**: Each model ranks anonymized responses (prevents favoritism)
+3. **Stage 3**: Chairman model synthesizes final answer from all inputs + rankings
+
+## Critical Architecture Decisions
+
+### Anonymization Strategy
+- Stage 2 uses "Response A", "Response B" labels to prevent model bias
+- Backend creates `label_to_model` mapping for de-anonymization
+- Frontend displays real model names **client-side** in bold (e.g., "**gpt-5.1**")
+- This is intentional: models judge anonymously, users see transparently
+
+### Metadata NOT Persisted
+Key gotcha: `label_to_model` and `aggregate_rankings` are computed per-request but **NOT saved to JSON**. They exist only in API responses and frontend state. See [backend/main.py](../backend/main.py) POST endpoint and [backend/storage.py](../backend/storage.py).
+
+### Port Configuration
+Backend runs on **port 8001** (not 8000). This was a deliberate user choice due to port conflicts. CORS allows localhost:5173 (Vite) and localhost:3000.
+
+## Development Workflow
+
+### Running the App
+```bash
+# Web App: Use start script
+./start.sh
+
+# Web App: Manual (two terminals)
+# Terminal 1: uv run llm-council-web
+# Terminal 2: cd frontend && npm run dev
+
+# MCP Server: For Claude Desktop / VS Code
+uv run llm-council-mcp
+```
+
+### Dependencies
+- **Backend**: `uv sync` (Python 3.10+, FastAPI, httpx)
+- **Frontend**: `cd frontend && npm install` (React 19, Vite, react-markdown)
+
+### Environment Setup
+Create `.env` in root with:
+```
+OPENROUTER_API_KEY=sk-or-v1-...
+```
+
+## Code Patterns & Conventions
+
+### MCP Server Architecture (backend/mcp_server.py)
+The MCP server exposes council deliberation as tools and resources:
+- **Tools**: `council_query`, `council_stage1`, `council_list_conversations`, `council_get_conversation`
+- **Resources**: `council://conversations/{id}` for accessing saved deliberations
+- **Progress Notifications**: Uses MCP's `send_log_message` to report stage progress
+- **Stateful**: Reuses existing [backend/storage.py](../backend/storage.py) for conversation persistence
+- **Model Customization**: Tools accept optional `council_models` and `chairman_model` parameters to override [backend/config.py](../backend/config.py) defaults
+
+### Stage 2 Prompt Format (Strict Parsing)
+See [backend/council.py](../backend/council.py) `stage2_collect_rankings()`. The prompt enforces:
+```
+FINAL RANKING:
+1. Response C
+2. Response A
+```
+No extra text after ranking. This enables `parse_ranking_from_text()` to reliably extract results.
+
+### Async Parallelism
+All model queries use `asyncio.gather()` for speed. See [backend/openrouter.py](../backend/openrouter.py) `query_models_parallel()`.
+
+### Graceful Degradation
+If a model fails in Stage 1, continue with successful responses. Returns `None` on failure, filters before proceeding.
+
+### React Component Structure
+- [frontend/src/App.jsx](../frontend/src/App.jsx): Conversation orchestration
+- [frontend/src/components/Stage1.jsx](../frontend/src/components/Stage1.jsx): Tab view of individual responses
+- [frontend/src/components/Stage2.jsx](../frontend/src/components/Stage2.jsx): Peer rankings + aggregate scores ("Street Cred")
+- [frontend/src/components/Stage3.jsx](../frontend/src/components/Stage3.jsx): Final synthesized answer (green background #f0fff0)
+
+### Styling
+- **Light mode** theme (not dark mode)
+- Primary blue: #4a90e2
+- All markdown wrapped in `.markdown-content` class with 12px padding (prevents cluttered look)
+- See [frontend/src/index.css](../frontend/src/index.css) for global markdown styles
+
+## Common Tasks
+
+### Changing Council Models
+Edit [backend/config.py](../backend/config.py) `COUNCIL_MODELS` and `CHAIRMAN_MODEL`. Use OpenRouter model identifiers (e.g., "anthropic/claude-sonnet-4.5").
+
+### Adding a New Stage
+1. Add async function to [backend/council.py](../backend/council.py)
+2. Update [backend/main.py](../backend/main.py) POST endpoint to call it
+3. Add response data to storage schema if persisting (else just return via API)
+4. Create React component in [frontend/src/components/](../frontend/src/components/)
+5. Import and render in [frontend/src/components/ChatInterface.jsx](../frontend/src/components/ChatInterface.jsx)
+
+### Debugging API Responses
+Check [backend/main.py](../backend/main.py) POST `/api/conversations/{id}/message`. Returns full response with `stage1`, `stage2`, `stage3` + metadata. Frontend stores metadata in state but backend doesn't persist it.
+
+## Project Philosophy
+
+Per [README.md](../README.md): "99% vibe coded as a fun Saturday hack." This means:
+- Prioritize working code over perfect architecture
+- Code is meant to be ephemeral - customize freely
+- No long-term support planned
+- JSON file storage is intentionally simple (not a database)
+
+When making changes, maintain the spirit: fast iterations, clear stage boundaries, and transparent multi-LLM deliberation.
diff --git a/MCP_QUICKSTART.md b/MCP_QUICKSTART.md
new file mode 100644
index 000000000..4ce261dfb
--- /dev/null
+++ b/MCP_QUICKSTART.md
@@ -0,0 +1,157 @@
+# LLM Council MCP Server - Quick Start Guide
+
+## Installation
+
+1. **Install dependencies:**
+   ```bash
+   uv sync
+   ```
+
+2. **Configure your API key:**
+
+   Copy `.env.example` to `.env`:
+   ```bash
+   cp .env.example .env
+   ```
+
+   Edit `.env` and add your OpenRouter API key:
+   ```
+   OPENROUTER_API_KEY=sk-or-v1-your-actual-key-here
+   ```
+
+3. **Test the server:**
+   ```bash
+   uv run llm-council-mcp
+   ```
+
+   The server will start and wait for JSON-RPC input (this is normal - MCP clients communicate via stdin/stdout).
+
+## Claude Desktop Configuration
+
+Add this to your Claude Desktop config:
+
+**macOS:** `~/Library/Application Support/Claude/claude_desktop_config.json`
+**Windows:** `%APPDATA%\Claude\claude_desktop_config.json`
+
+```json
+{
+  "mcpServers": {
+    "llm-council": {
+      "command": "uv",
+      "args": ["--directory", "C:\\path\\to\\llm-council", "run", "llm-council-mcp"],
+      "env": {
+        "OPENROUTER_API_KEY": "sk-or-v1-your-actual-key"
+      }
+    }
+  }
+}
+```
+
+**Important:** Replace `C:\\path\\to\\llm-council` with the actual path to this directory.
+- Windows: Use double backslashes `C:\\src\\llm-council`
+- macOS/Linux: Use forward slashes `/Users/you/llm-council`
+
+## VS Code Configuration
+
+Add this to your VS Code settings (`.vscode/settings.json` or User Settings):
+
+```json
+{
+  "mcp.servers": {
+    "llm-council": {
+      "command": "uv",
+      "args": ["--directory", "/path/to/llm-council", "run", "llm-council-mcp"],
+      "env": {
+        "OPENROUTER_API_KEY": "sk-or-v1-your-actual-key"
+      }
+    }
+  }
+}
+```
+
+## Usage Examples
+
+Once configured, you can use these tools in your MCP client:
+
+### 1. Full Council Query
+
+In Claude Desktop, ask:
+
+> "Use the council_query tool to answer: What are the key differences between supervised and unsupervised learning?"
+
+This will:
+- Stage 1: Get responses from all 4 council models
+- Stage 2: Each model ranks the others' responses (anonymized)
+- Stage 3: Chairman synthesizes the final answer
+- Save the conversation to history
+
+### 2. Quick Model Comparison (Stage 1 Only)
+
+> "Use council_stage1 to compare how different models explain recursion"
+
+This skips ranking and synthesis for faster results.
+
+### 3. Custom Models
+
+> "Use council_query with these models: ['openai/gpt-4', 'anthropic/claude-3-opus', 'google/gemini-pro'] to answer: What is the future of quantum computing?"
+
+### 4. Access Past Conversations
+
+> "List all my saved council conversations using council_list_conversations"
+
+> "Show me the full details of conversation ID abc-123 using council_get_conversation"
+
+## Available Tools
+
+| Tool | Purpose | Key Parameters |
+|------|---------|----------------|
+| `council_query` | Full 3-stage deliberation | `question`, `council_models` (optional), `chairman_model` (optional), `save_conversation` (default: true) |
+| `council_stage1` | Individual responses only | `question`, `council_models` (optional) |
+| `council_list_conversations` | List all saved conversations | None |
+| `council_get_conversation` | Get conversation details | `conversation_id` |
+
+## Available Resources
+
+- `council://conversations/{id}` - Access any saved conversation as a resource
+
+## Customizing Default Models
+
+Edit `backend/config.py` to change the default council members:
+
+```python
+COUNCIL_MODELS = [
+    "openai/gpt-5.1",
+    "google/gemini-3-pro-preview",
+    "anthropic/claude-sonnet-4.5",
+    "x-ai/grok-4",
+]
+
+CHAIRMAN_MODEL = "google/gemini-3-pro-preview"
+```
+
+These can be overridden per-query using tool parameters.
+
+## Troubleshooting
+
+### Server doesn't start
+- Check that your `.env` file exists with a valid `OPENROUTER_API_KEY`
+- Verify dependencies are installed: `uv sync`
+- Test imports: `uv run python -c "from backend.mcp_server import main; print('OK')"`
+
+### No response from tools
+- Council queries take 30-120 seconds to complete (multiple LLM calls)
+- Check OpenRouter API key has sufficient credits
+- Look for progress notifications in your MCP client logs
+
+### Permission errors on Windows
+- Ensure the path in config uses double backslashes: `C:\\src\\llm-council`
+- Run VS Code or Claude Desktop with appropriate permissions
+
+## Cost Considerations
+
+Each `council_query` makes 9 LLM API calls:
+- Stage 1: 4 council models in parallel
+- Stage 2: 4 models ranking in parallel
+- Stage 3: 1 chairman model
+
+Using cheaper models or `council_stage1` can reduce costs.
diff --git a/README.md b/README.md
index 23599b3cf..7f8c3e4d9 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,16 @@
 
 ![llmcouncil](header.jpg)
 
-The idea of this repo is that instead of asking a question to your favorite LLM provider (e.g. OpenAI GPT 5.1, Google Gemini 3.0 Pro, Anthropic Claude Sonnet 4.5, xAI Grok 4, eg.c), you can group them into your "LLM Council". This repo is a simple, local web app that essentially looks like ChatGPT except it uses OpenRouter to send your query to multiple LLMs, it then asks them to review and rank each other's work, and finally a Chairman LLM produces the final response.
+The idea of this repo is that instead of asking a question to your favorite LLM provider (e.g. OpenAI GPT 5.1, Google Gemini 3.0 Pro, Anthropic Claude Sonnet 4.5, xAI Grok 4, eg.c), you can group them into your "LLM Council".
+
+**Now available as both a web app AND an MCP server!**
+
+- **Web App:** Interactive UI that looks like ChatGPT but runs multi-model deliberation
+- **MCP Server:** Use LLM Council directly in Claude Desktop, VS Code, or any MCP client
+
+## How It Works
+
+This repo uses OpenRouter to send your query to multiple LLMs, asks them to review and rank each other's work, and produces a final synthesized response.
 
 In a bit more detail, here is what happens when you submit a query:
 
@@ -79,9 +88,195 @@ npm run dev
 
 Then open http://localhost:5173 in your browser.
 
+## Usage Modes
+
+LLM Council can be used in **two ways**:
+
+### 1. Web Application (Original)
+Interactive web UI with chat interface, conversation history, and visual stage display.
+
+### 2. MCP Server (NEW!)
+Use LLM Council as a Model Context Protocol server in Claude Desktop, VS Code, or any MCP-compatible client.
+
+## MCP Server Setup
+
+The MCP server exposes LLM Council's deliberation capabilities as tools that can be called from MCP clients.
+
+### Installation
+
+1. **Install dependencies:**
+```bash
+uv sync
+```
+
+2. **Set up your OpenRouter API key:**
+
+Copy the example environment file:
+```bash
+cp .env.example .env
+```
+
+Edit `.env` and add your OpenRouter API key:
+```bash
+OPENROUTER_API_KEY=sk-or-v1-your-actual-key
+```
+
+3. **Test the MCP server:**
+```bash
+uv run llm-council-mcp
+```
+
+### Configure Claude Desktop
+
+Add this to your Claude Desktop config file:
+
+**macOS:** `~/Library/Application Support/Claude/claude_desktop_config.json`
+**Windows:** `%APPDATA%\Claude\claude_desktop_config.json`
+
+```json
+{
+  "mcpServers": {
+    "llm-council": {
+      "command": "uv",
+      "args": ["--directory", "C:\\path\\to\\llm-council", "run", "llm-council-mcp"],
+      "env": {
+        "OPENROUTER_API_KEY": "sk-or-v1-your-actual-key"
+      }
+    }
+  }
+}
+```
+
+**Important:** Replace `C:\\path\\to\\llm-council` with the actual absolute path to your LLM Council directory. Use forward slashes (`/`) on macOS/Linux and double backslashes (`\\`) on Windows.
+
+### Configure VS Code
+
+Add this to your VS Code settings (`.vscode/settings.json` or User Settings):
+
+```json
+{
+  "mcp.servers": {
+    "llm-council": {
+      "command": "uv",
+      "args": ["--directory", "/path/to/llm-council", "run", "llm-council-mcp"],
+      "env": {
+        "OPENROUTER_API_KEY": "sk-or-v1-your-actual-key"
+      }
+    }
+  }
+}
+```
+
+### Available MCP Tools
+
+Once configured, you can use these tools in your MCP client:
+
+1. **`council_query`** - Run a full 3-stage deliberation
+   - **Parameters:**
+     - `question` (required): The question to ask
+     - `council_models` (optional): List of OpenRouter model IDs (overrides config defaults)
+     - `chairman_model` (optional): Chairman model ID (overrides config default)
+     - `save_conversation` (optional): Whether to save to history (default: true)
+   - **Returns:** Complete deliberation with all 3 stages, rankings, and metadata
+
+2. **`council_stage1`** - Run only Stage 1 (individual responses)
+   - **Parameters:**
+     - `question` (required): The question to ask
+     - `council_models` (optional): List of model IDs
+   - **Returns:** Just the individual model responses (faster, skips ranking/synthesis)
+
+3. **`council_list_conversations`** - List all saved conversations
+
+4. **`council_get_conversation`** - Retrieve a specific conversation by ID
+
+### Available MCP Resources
+
+Access past deliberations as resources:
+
+- `council://conversations/{id}` - Full conversation with all messages and stages
+
+### Example Usage in Claude Desktop
+
+Once configured, you can ask Claude:
+
+> "Use the council_query tool to ask: What are the implications of quantum computing for cryptography?"
+
+Claude will invoke the LLM Council and present the full 3-stage deliberation.
+
+### Customizing Models
+
+You can override the default council models in your query:
+
+> "Use council_query with custom models: ['openai/gpt-4', 'anthropic/claude-3-opus', 'google/gemini-pro'] to answer: What is consciousness?"
+
+## Web Application Setup
+
+### 1. Install Dependencies
+
+**Backend:**
+```bash
+uv sync
+```
+
+**Frontend:**
+```bash
+cd frontend
+npm install
+cd ..
+```
+
+### 2. Configure API Key
+
+Create a `.env` file in the project root (or copy from `.env.example`):
+
+```bash
+OPENROUTER_API_KEY=sk-or-v1-...
+```
+
+Get your API key at [openrouter.ai](https://openrouter.ai/). Make sure to purchase the credits you need, or sign up for automatic top up.
+
+### 3. Configure Models (Optional)
+
+Edit `backend/config.py` to customize the council:
+
+```python
+COUNCIL_MODELS = [
+    "openai/gpt-5.1",
+    "google/gemini-3-pro-preview",
+    "anthropic/claude-sonnet-4.5",
+    "x-ai/grok-4",
+]
+
+CHAIRMAN_MODEL = "google/gemini-3-pro-preview"
+```
+
+## Running the Web Application
+
+**Option 1: Use the start script**
+```bash
+./start.sh
+```
+
+**Option 2: Run manually**
+
+Terminal 1 (Backend):
+```bash
+uv run llm-council-web
+# or: uv run python -m backend.main
+```
+
+Terminal 2 (Frontend):
+```bash
+cd frontend
+npm run dev
+```
+
+Then open http://localhost:5173 in your browser.
+
 ## Tech Stack
 
-- **Backend:** FastAPI (Python 3.10+), async httpx, OpenRouter API
+- **Backend:** FastAPI (Python 3.10+), async httpx, OpenRouter API, MCP SDK
 - **Frontend:** React + Vite, react-markdown for rendering
+- **MCP Server:** Model Context Protocol for tool integration
 - **Storage:** JSON files in `data/conversations/`
 - **Package Management:** uv for Python, npm for JavaScript
diff --git a/backend/mcp_server.py b/backend/mcp_server.py
new file mode 100644
index 000000000..7c4d4fcf2
--- /dev/null
+++ b/backend/mcp_server.py
@@ -0,0 +1,447 @@
+"""MCP Server for LLM Council - Exposes council deliberation as MCP tools and resources."""
+
+import asyncio
+import json
+import traceback
+import uuid
+
+from mcp.server.models import InitializationOptions
+from mcp.server import NotificationOptions, Server
+from mcp.server.stdio import stdio_server
+from mcp.types import Resource, Tool, TextContent, LoggingLevel
+
+from . import storage
+from . import config as backend_config
+from .council import (
+    stage1_collect_responses,
+    stage2_collect_rankings,
+    stage3_synthesize_final,
+    calculate_aggregate_rankings,
+    generate_conversation_title,
+)
+from .config import COUNCIL_MODELS, CHAIRMAN_MODEL
+
+
+# Initialize the MCP server
+server = Server("llm-council")
+
+
+@server.list_resources()
+async def handle_list_resources() -> list[Resource]:
+    """List all available conversation resources."""
+    conversations = storage.list_conversations()
+
+    resources = []
+    for conv in conversations:
+        resources.append(
+            Resource(
+                uri=f"council://conversations/{conv['id']}",
+                name=f"{conv['title']} ({conv['message_count']} messages)",
+                description=f"Council conversation created at {conv['created_at']}",
+                mimeType="application/json",
+            )
+        )
+
+    return resources
+
+
+@server.read_resource()
+async def handle_read_resource(uri: str) -> str:
+    """Read a specific conversation resource."""
+    if not uri.startswith("council://conversations/"):
+        raise ValueError(f"Unknown resource URI: {uri}")
+
+    conversation_id = uri.replace("council://conversations/", "")
+    conversation = storage.get_conversation(conversation_id)
+
+    if conversation is None:
+        raise ValueError(f"Conversation not found: {conversation_id}")
+
+    return json.dumps(conversation, indent=2)
+
+
+@server.list_tools()
+async def handle_list_tools() -> list[Tool]:
+    """List all available council tools."""
+    return [
+        Tool(
+            name="council_query",
+            description=(
+                "Run a full 3-stage LLM Council deliberation on a question. "
+                "Stage 1: Multiple models provide individual responses. "
+                "Stage 2: Models rank each other's responses (anonymized). "
+                "Stage 3: Chairman synthesizes final answer from all input. "
+                "This process takes 30-120 seconds to complete."
+            ),
+            inputSchema={
+                "type": "object",
+                "properties": {
+                    "question": {
+                        "type": "string",
+                        "description": "The question to ask the LLM Council",
+                    },
+                    "council_models": {
+                        "type": "array",
+                        "items": {"type": "string"},
+                        "description": (
+                            "Optional: List of OpenRouter model identifiers for council members. "
+                            f"Defaults to: {COUNCIL_MODELS}"
+                        ),
+                    },
+                    "chairman_model": {
+                        "type": "string",
+                        "description": (
+                            "Optional: OpenRouter model identifier for the chairman. "
+                            f"Defaults to: {CHAIRMAN_MODEL}"
+                        ),
+                    },
+                    "save_conversation": {
+                        "type": "boolean",
+                        "description": "Whether to save this as a new conversation (default: true)",
+                        "default": True,
+                    },
+                },
+                "required": ["question"],
+            },
+        ),
+        Tool(
+            name="council_stage1",
+            description=(
+                "Run only Stage 1 of council deliberation: collect individual responses "
+                "from all council models in parallel. Use this for quick comparison of "
+                "model outputs without the full ranking and synthesis process."
+            ),
+            inputSchema={
+                "type": "object",
+                "properties": {
+                    "question": {
+                        "type": "string",
+                        "description": "The question to ask the council models",
+                    },
+                    "council_models": {
+                        "type": "array",
+                        "items": {"type": "string"},
+                        "description": (
+                            "Optional: List of OpenRouter model identifiers. "
+                            f"Defaults to: {COUNCIL_MODELS}"
+                        ),
+                    },
+                },
+                "required": ["question"],
+            },
+        ),
+        Tool(
+            name="council_list_conversations",
+            description="List all saved council conversations with metadata",
+            inputSchema={
+                "type": "object",
+                "properties": {},
+            },
+        ),
+        Tool(
+            name="council_get_conversation",
+            description="Retrieve a specific conversation by ID with all messages and stages",
+            inputSchema={
+                "type": "object",
+                "properties": {
+                    "conversation_id": {
+                        "type": "string",
+                        "description": "The conversation ID to retrieve",
+                    },
+                },
+                "required": ["conversation_id"],
+            },
+        ),
+    ]
+
+
+@server.call_tool()
+async def handle_call_tool(name: str, arguments: dict) -> list[TextContent]:
+    """Handle tool execution requests."""
+
+    if name == "council_query":
+        return await handle_council_query(arguments)
+    elif name == "council_stage1":
+        return await handle_council_stage1(arguments)
+    elif name == "council_list_conversations":
+        return await handle_list_conversations_tool()
+    elif name == "council_get_conversation":
+        return await handle_get_conversation_tool(arguments)
+    else:
+        raise ValueError(f"Unknown tool: {name}")
+
+
+async def handle_council_query(arguments: dict) -> list[TextContent]:
+    """Execute a full 3-stage council deliberation."""
+    question = arguments["question"]
+    council_models = arguments.get("council_models", COUNCIL_MODELS)
+    chairman_model = arguments.get("chairman_model", CHAIRMAN_MODEL)
+    save_conversation = arguments.get("save_conversation", True)
+
+    # Override config temporarily if custom models specified
+    original_council = backend_config.COUNCIL_MODELS
+    original_chairman = backend_config.CHAIRMAN_MODEL
+
+    try:
+        if council_models != COUNCIL_MODELS:
+            backend_config.COUNCIL_MODELS = council_models
+        if chairman_model != CHAIRMAN_MODEL:
+            backend_config.CHAIRMAN_MODEL = chairman_model
+
+        # Send progress notifications
+        await server.request_context.session.send_log_message(
+            level=LoggingLevel.INFO,
+            data="Stage 1: Collecting individual responses from council models...",
+        )
+
+        await server.request_context.session.send_log_message(
+            level=LoggingLevel.INFO,
+            data=f"Using models: {council_models}",
+        )
+
+        # Run Stage 1
+        stage1_results = await stage1_collect_responses(question)
+
+        await server.request_context.session.send_log_message(
+            level=LoggingLevel.INFO,
+            data=f"Stage 1 returned {len(stage1_results) if stage1_results else 0} results",
+        )
+
+        if not stage1_results:
+            return [
+                TextContent(
+                    type="text",
+                    text="Error: All models failed to respond. Please check your OpenRouter API key and try again.",
+                )
+            ]
+
+        await server.request_context.session.send_log_message(
+            level=LoggingLevel.INFO,
+            data=f"Stage 1 complete: {len(stage1_results)} responses collected",
+        )
+
+        # Send progress for Stage 2
+        await server.request_context.session.send_log_message(
+            level=LoggingLevel.INFO,
+            data="Stage 2: Collecting peer rankings (anonymized)...",
+        )
+
+        # Run Stage 2
+        stage2_results, label_to_model = await stage2_collect_rankings(question, stage1_results)
+        aggregate_rankings = calculate_aggregate_rankings(stage2_results, label_to_model)
+
+        await server.request_context.session.send_log_message(
+            level=LoggingLevel.INFO,
+            data="Stage 2 complete: Peer rankings collected",
+        )
+
+        # Send progress for Stage 3
+        await server.request_context.session.send_log_message(
+            level=LoggingLevel.INFO,
+            data="Stage 3: Chairman synthesizing final answer...",
+        )
+
+        # Run Stage 3
+        stage3_result = await stage3_synthesize_final(
+            question,
+            stage1_results,
+            stage2_results
+        )
+
+        await server.request_context.session.send_log_message(
+            level=LoggingLevel.INFO,
+            data="Stage 3 complete: Final synthesis ready",
+        )
+
+        # Prepare metadata
+        metadata = {
+            "label_to_model": label_to_model,
+            "aggregate_rankings": aggregate_rankings,
+        }
+
+        # Save conversation if requested
+        conversation_id = None
+        if save_conversation:
+            conversation_id = str(uuid.uuid4())
+            storage.create_conversation(conversation_id)
+
+            # Generate title (don't wait for it, do it async)
+            title = await generate_conversation_title(question)
+            storage.update_conversation_title(conversation_id, title)
+
+            # Add messages
+            storage.add_user_message(conversation_id, question)
+            storage.add_assistant_message(
+                conversation_id,
+                stage1_results,
+                stage2_results,
+                stage3_result
+            )
+
+        # Format response
+        response = {
+            "question": question,
+            "stage1_responses": stage1_results,
+            "stage2_rankings": stage2_results,
+            "stage3_synthesis": stage3_result,
+            "metadata": metadata,
+        }
+
+        if conversation_id:
+            response["conversation_id"] = conversation_id
+            response["resource_uri"] = f"council://conversations/{conversation_id}"
+
+        return [
+            TextContent(
+                type="text",
+                text=json.dumps(response, indent=2),
+            )
+        ]
+
+    except Exception as e:
+        # Log the error with full traceback
+        error_details = traceback.format_exc()
+
+        await server.request_context.session.send_log_message(
+            level=LoggingLevel.ERROR,
+            data=f"Error in council_query: {str(e)}\n\nTraceback:\n{error_details}",
+        )
+        # Return error to user
+        return [
+            TextContent(
+                type="text",
+                text=f"Error: {str(e)}\n\nFull details:\n{error_details}\n\nPlease check:\n1. Your OPENROUTER_API_KEY is valid\n2. You have credits in your OpenRouter account\n3. The model names are correct",
+            )
+        ]
+
+    finally:
+        # Restore original config
+        backend_config.COUNCIL_MODELS = original_council
+        backend_config.CHAIRMAN_MODEL = original_chairman
+
+
+async def handle_council_stage1(arguments: dict) -> list[TextContent]:
+    """Execute only Stage 1: collect individual responses."""
+    question = arguments["question"]
+    council_models = arguments.get("council_models", COUNCIL_MODELS)
+
+    # Override config temporarily if custom models specified
+    original_council = backend_config.COUNCIL_MODELS
+
+    try:
+        if council_models != COUNCIL_MODELS:
+            backend_config.COUNCIL_MODELS = council_models
+
+        # Optional: try to log, but don't fail if it doesn't work
+        try:
+            await server.request_context.session.send_log_message(
+                level=LoggingLevel.INFO,
+                data=f"Collecting responses from {len(council_models)} models...",
+            )
+        except Exception:
+            pass
+
+        stage1_results = await stage1_collect_responses(question)
+
+        if not stage1_results:
+            return [
+                TextContent(
+                    type="text",
+                    text="Error: All models failed to respond. Please check your OpenRouter API key and try again.",
+                )
+            ]
+
+        response = {
+            "question": question,
+            "responses": stage1_results,
+            "models_queried": len(council_models),
+            "responses_received": len(stage1_results),
+        }
+
+        return [
+            TextContent(
+                type="text",
+                text=json.dumps(response, indent=2),
+            )
+        ]
+
+    except Exception as e:
+        # Try to log, but don't fail if logging fails
+        error_msg = f"Error in council_stage1: {str(e)}"
+        try:
+            error_details = traceback.format_exc()
+            await server.request_context.session.send_log_message(
+                level=LoggingLevel.ERROR,
+                data=f"{error_msg}\n\nTraceback:\n{error_details}",
+            )
+        except Exception:
+            pass  # Logging failed, but we'll still return the error
+
+        return [
+            TextContent(
+                type="text",
+                text=f"{error_msg}\n\nThis is likely a configuration or API issue. The core council logic works (verified), so check:\n1. Your mcp.json config has correct paths\n2. OPENROUTER_API_KEY is set in env\n3. Model names are valid",
+            )
+        ]
+
+    finally:
+        backend_config.COUNCIL_MODELS = original_council
+
+
+async def handle_list_conversations_tool() -> list[TextContent]:
+    """List all conversations."""
+    conversations = storage.list_conversations()
+
+    return [
+        TextContent(
+            type="text",
+            text=json.dumps(conversations, indent=2),
+        )
+    ]
+
+
+async def handle_get_conversation_tool(arguments: dict) -> list[TextContent]:
+    """Get a specific conversation."""
+    conversation_id = arguments["conversation_id"]
+    conversation = storage.get_conversation(conversation_id)
+
+    if conversation is None:
+        return [
+            TextContent(
+                type="text",
+                text=f"Error: Conversation not found: {conversation_id}",
+            )
+        ]
+
+    return [
+        TextContent(
+            type="text",
+            text=json.dumps(conversation, indent=2),
+        )
+    ]
+
+
+async def async_main():
+    """Run the MCP server."""
+    async with stdio_server() as (read_stream, write_stream):
+        await server.run(
+            read_stream,
+            write_stream,
+            InitializationOptions(
+                server_name="llm-council",
+                server_version="0.1.0",
+                capabilities=server.get_capabilities(
+                    notification_options=NotificationOptions(),
+                    experimental_capabilities={},
+                ),
+            ),
+        )
+
+
+def main():
+    """Entry point for the MCP server CLI."""
+    asyncio.run(async_main())
+
+
+if __name__ == "__main__":
+    main()
diff --git a/frontend/package-lock.json b/frontend/package-lock.json
index a6a7c3430..0c07826fc 100644
--- a/frontend/package-lock.json
+++ b/frontend/package-lock.json
@@ -52,6 +52,7 @@
       "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.28.5.tgz",
       "integrity": "sha512-e7jT4DxYvIDLk1ZHmU/m/mB19rex9sv0c2ftBtjSBv+kVM/902eh0fINUzD7UwLLNR+jU585GxUJ8/EBfAM5fw==",
       "dev": true,
+      "peer": true,
       "dependencies": {
         "@babel/code-frame": "^7.27.1",
         "@babel/generator": "^7.28.5",
@@ -1327,6 +1328,7 @@
       "version": "19.2.6",
       "resolved": "https://registry.npmjs.org/@types/react/-/react-19.2.6.tgz",
       "integrity": "sha512-p/jUvulfgU7oKtj6Xpk8cA2Y1xKTtICGpJYeJXz2YVO2UcvjQgeRMLDGfDeqeRW2Ta+0QNFwcc8X3GH8SxZz6w==",
+      "peer": true,
       "dependencies": {
         "csstype": "^3.2.2"
       }
@@ -1375,6 +1377,7 @@
       "resolved": "https://registry.npmjs.org/acorn/-/acorn-8.15.0.tgz",
       "integrity": "sha512-NZyJarBfL7nWwIq+FDL6Zp/yHEhePMNnnJ0y3qfieCrmNvYct8uvtiV41UvlSe6apAfk0fY1FbWx+NwfmpvtTg==",
       "dev": true,
+      "peer": true,
       "bin": {
         "acorn": "bin/acorn"
       },
@@ -1481,6 +1484,7 @@
           "url": "https://github.com/sponsors/ai"
         }
       ],
+      "peer": true,
       "dependencies": {
         "baseline-browser-mapping": "^2.8.25",
         "caniuse-lite": "^1.0.30001754",
@@ -1770,6 +1774,7 @@
       "resolved": "https://registry.npmjs.org/eslint/-/eslint-9.39.1.tgz",
       "integrity": "sha512-BhHmn2yNOFA9H9JmmIVKJmd288g9hrVRDkdoIgRCRuSySRUHH7r/DI6aAXW9T1WwUuY3DFgrcaqB+deURBLR5g==",
       "dev": true,
+      "peer": true,
       "dependencies": {
         "@eslint-community/eslint-utils": "^4.8.0",
         "@eslint-community/regexpp": "^4.12.1",
@@ -3115,6 +3120,7 @@
       "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.3.tgz",
       "integrity": "sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q==",
       "dev": true,
+      "peer": true,
       "engines": {
         "node": ">=12"
       },
@@ -3181,6 +3187,7 @@
       "version": "19.2.0",
       "resolved": "https://registry.npmjs.org/react/-/react-19.2.0.tgz",
       "integrity": "sha512-tmbWg6W31tQLeB5cdIBOicJDJRR2KzXsV7uSK9iNfLWQ5bIZfxuPEHp7M8wiHyHnn0DD1i7w3Zmin0FtkrwoCQ==",
+      "peer": true,
       "engines": {
         "node": ">=0.10.0"
       }
@@ -3615,6 +3622,7 @@
       "resolved": "https://registry.npmjs.org/vite/-/vite-7.2.4.tgz",
       "integrity": "sha512-NL8jTlbo0Tn4dUEXEsUg8KeyG/Lkmc4Fnzb8JXN/Ykm9G4HNImjtABMJgkQoVjOBN/j2WAwDTRytdqJbZsah7w==",
       "dev": true,
+      "peer": true,
       "dependencies": {
         "esbuild": "^0.25.0",
         "fdir": "^6.5.0",
@@ -3731,6 +3739,7 @@
       "resolved": "https://registry.npmjs.org/zod/-/zod-4.1.12.tgz",
       "integrity": "sha512-JInaHOamG8pt5+Ey8kGmdcAcg3OL9reK8ltczgHTAwNhMys/6ThXHityHxVV2p3fkw/c+MAvBHFVYHFZDmjMCQ==",
       "dev": true,
+      "peer": true,
       "funding": {
         "url": "https://github.com/sponsors/colinhacks"
       }
diff --git a/mcp-config.example.json b/mcp-config.example.json
new file mode 100644
index 000000000..c8521f7a0
--- /dev/null
+++ b/mcp-config.example.json
@@ -0,0 +1,11 @@
+{
+  "mcpServers": {
+    "llm-council": {
+      "command": "uv",
+      "args": ["run", "llm-council-mcp"],
+      "env": {
+        "OPENROUTER_API_KEY": "sk-or-v1-your-key-here"
+      }
+    }
+  }
+}
diff --git a/pyproject.toml b/pyproject.toml
index 56356ebcb..b02cfa604 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [project]
 name = "llm-council"
 version = "0.1.0"
-description = "Your LLM Council"
+description = "Your LLM Council - Multi-LLM deliberation system with MCP server support"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
@@ -10,4 +10,19 @@ dependencies = [
     "python-dotenv>=1.0.0",
     "httpx>=0.27.0",
     "pydantic>=2.9.0",
+    "mcp>=1.0.0",
 ]
+
+[project.scripts]
+llm-council-mcp = "backend.mcp_server:main"
+llm-council-web = "backend.main:main"
+
+[tool.uv]
+package = true
+
+[tool.hatch.build.targets.wheel]
+packages = ["backend"]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
diff --git a/uv.lock b/uv.lock
index 079224681..84d75a5f9 100644
--- a/uv.lock
+++ b/uv.lock
@@ -35,6 +35,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/15/b3/9b1a8074496371342ec1e796a96f99c82c945a339cd81a8e73de28b4cf9e/anyio-4.11.0-py3-none-any.whl", hash = "sha256:0287e96f4d26d4149305414d4e3bc32f0dcd0862365a4bddea19d7a1ec38c4fc", size = 109097, upload-time = "2025-09-23T09:19:10.601Z" },
 ]
 
+[[package]]
+name = "attrs"
+version = "25.4.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/6b/5c/685e6633917e101e5dcb62b9dd76946cbb57c26e133bae9e0cd36033c0a9/attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11", size = 934251, upload-time = "2025-10-06T13:54:44.725Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3a/2a/7cc015f5b9f5db42b7d48157e23356022889fc354a2813c15934b7cb5c0e/attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373", size = 67615, upload-time = "2025-10-06T13:54:43.17Z" },
+]
+
 [[package]]
 name = "certifi"
 version = "2025.11.12"
@@ -44,6 +53,88 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/70/7d/9bc192684cea499815ff478dfcdc13835ddf401365057044fb721ec6bddb/certifi-2025.11.12-py3-none-any.whl", hash = "sha256:97de8790030bbd5c2d96b7ec782fc2f7820ef8dba6db909ccf95449f2d062d4b", size = 159438, upload-time = "2025-11-12T02:54:49.735Z" },
 ]
 
+[[package]]
+name = "cffi"
+version = "2.0.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pycparser", marker = "implementation_name != 'PyPy'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/eb/56/b1ba7935a17738ae8453301356628e8147c79dbb825bcbc73dc7401f9846/cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529", size = 523588, upload-time = "2025-09-08T23:24:04.541Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/93/d7/516d984057745a6cd96575eea814fe1edd6646ee6efd552fb7b0921dec83/cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44", size = 184283, upload-time = "2025-09-08T23:22:08.01Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/84/ad6a0b408daa859246f57c03efd28e5dd1b33c21737c2db84cae8c237aa5/cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49", size = 180504, upload-time = "2025-09-08T23:22:10.637Z" },
+    { url = "https://files.pythonhosted.org/packages/50/bd/b1a6362b80628111e6653c961f987faa55262b4002fcec42308cad1db680/cffi-2.0.0-cp310-cp310-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:53f77cbe57044e88bbd5ed26ac1d0514d2acf0591dd6bb02a3ae37f76811b80c", size = 208811, upload-time = "2025-09-08T23:22:12.267Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/27/6933a8b2562d7bd1fb595074cf99cc81fc3789f6a6c05cdabb46284a3188/cffi-2.0.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3e837e369566884707ddaf85fc1744b47575005c0a229de3327f8f9a20f4efeb", size = 216402, upload-time = "2025-09-08T23:22:13.455Z" },
+    { url = "https://files.pythonhosted.org/packages/05/eb/b86f2a2645b62adcfff53b0dd97e8dfafb5c8aa864bd0d9a2c2049a0d551/cffi-2.0.0-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:5eda85d6d1879e692d546a078b44251cdd08dd1cfb98dfb77b670c97cee49ea0", size = 203217, upload-time = "2025-09-08T23:22:14.596Z" },
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