lbds137/council-mcp-server
3.2
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The Gemini MCP Server is a Model Context Protocol server that facilitates collaboration between Claude and Google's Gemini AI models.
Tools
6
Resources
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Prompts
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Council MCP Server
A Model Context Protocol (MCP) server that enables Claude to collaborate with multiple AI models via OpenRouter. Access 100+ models from Google, Anthropic, OpenAI, Meta, Mistral, and more.
Features
- Multi-Model Support: Access 100+ models via OpenRouter (Gemini, GPT, Claude, Llama, Mistral, etc.)
- Dynamic Model Discovery: List and filter available models by provider, capability, or pricing
- Per-Request Model Override: Use different models for different tasks
- Multiple Collaboration Tools: Code review, brainstorming, test generation, explanations
- Response Caching: Automatic caching for repeated queries
Quick Start
1. Prerequisites
- Python 3.9+
- Claude Desktop or Claude Code
- OpenRouter API Key
2. Installation
# Clone the repository
git clone https://github.com/lbds137/council-mcp-server.git
cd council-mcp-server
# Install dependencies
pip install -r requirements.txt
# Copy and configure environment
cp .env.example .env
# Edit .env and add your OPENROUTER_API_KEY
3. Configuration
Edit .env to configure:
# Your OpenRouter API key (required)
OPENROUTER_API_KEY=sk-or-...
# Model configuration (optional - defaults shown)
COUNCIL_DEFAULT_MODEL=google/gemini-3-pro-preview
COUNCIL_CACHE_TTL=3600
COUNCIL_TIMEOUT=600000
4. Register with Claude
# Install to MCP location
./scripts/install.sh
# Or manually register
claude mcp add council python3 ~/.claude-mcp-servers/council/launcher.py
Available Tools
Core Tools
| Tool | Description |
|---|---|
ask | General questions and problem-solving assistance |
code_review | Code review feedback (security, performance, best practices) |
brainstorm | Collaborative brainstorming for architecture and design |
test_cases | Generate comprehensive test scenarios |
explain | Clear explanations of complex code or concepts |
synthesize_perspectives | Combine multiple viewpoints into a coherent summary |
Model Management
| Tool | Description |
|---|---|
server_info | Check server status and current model |
list_models | List available models with filtering |
set_model | Change the active model for subsequent requests |
Model Override
All tools support an optional model parameter to use a specific model:
# Use Claude for code review
mcp__council__code_review(
code="def hello(): print('world')",
focus="security",
model="anthropic/claude-3-opus"
)
# Use GPT-4 for brainstorming
mcp__council__brainstorm(
topic="API design patterns",
model="openai/gpt-4-turbo"
)
Popular Model Configurations
Google Gemini (Default)
COUNCIL_DEFAULT_MODEL=google/gemini-3-pro-preview
Anthropic Claude
COUNCIL_DEFAULT_MODEL=anthropic/claude-3.5-sonnet
OpenAI GPT-4
COUNCIL_DEFAULT_MODEL=openai/gpt-4-turbo
Meta Llama (Free)
COUNCIL_DEFAULT_MODEL=meta-llama/llama-3.3-70b-instruct:free
Development
Project Structure
council-mcp-server/
├── src/council/ # Main source code
│ ├── main.py # CouncilMCPServer entry point
│ ├── manager.py # ModelManager (OpenRouter)
│ ├── providers/ # LLM provider implementations
│ ├── discovery/ # Model discovery and filtering
│ ├── tools/ # MCP tool implementations
│ ├── core/ # Registry and orchestrator
│ └── services/ # Cache and memory
├── tests/ # Test suite
├── scripts/ # Installation scripts
├── server.py # Bundled single-file server
├── launcher.py # Launcher with venv support
├── CLAUDE.md # Claude Code instructions
└── README.md # This file
Running Tests
# Create virtual environment
python -m venv .venv
source .venv/bin/activate
# Install dependencies
pip install -r requirements.txt
# Run tests
pytest tests/ -v
Building the Bundle
# Generate single-file server.py
python scripts/bundler.py
# Deploy to MCP location
./scripts/install.sh
Updating
To update your local MCP installation after making changes:
./scripts/install.sh
Then restart Claude Desktop/Code.
Troubleshooting
Server not found
# Check registration
claude mcp list
# Re-register if needed
./scripts/install.sh
API Key Issues
# Verify environment variable
echo $OPENROUTER_API_KEY
# Test with list_models tool
mcp__council__list_models(limit=5)
Model Not Available
Use list_models to find available models:
mcp__council__list_models(provider="google")
Version History
- v4.0.0: Council - Multi-model support via OpenRouter
- v3.0.0: Modular architecture with bundler
- v2.0.0: Dual-model support with fallback
- v1.0.0: Initial Gemini integration
License
MIT License - see file for details.
Acknowledgments
- Built for Claude using the Model Context Protocol
- Powered by OpenRouter for multi-model access