ConsultingAgents MCP Server
A Model Context Protocol (MCP) server that allows Claude Code to consult with additional AI agents for code and problem analysis. This server provides access to Darren (OpenAI), Sonny (Anthropic), and Sergey (OpenAI with web search) as expert consultants, enabling multi-model perspective on coding problems.
Features
- Darren : OpenAI expert coding consultant powered by o3-mini model with high reasoning capabilities
- Sonny : Anthropic expert coding consultant powered by Claude 3.7 Sonnet with enhanced thinking
- Sergey : OpenAI web search specialist powered by GPT-4o for finding relevant documentation and examples
- MCP Integration : Seamless integration with Claude Code via MCP protocol
- Multiple Transport Options : Supports stdio (for direct Claude Code integration) and HTTP/SSE transport
Prerequisites
- Python 3.8+
- OpenAI API key
- Anthropic API key
- Claude Code CLI (for integration)
Quick Start
Clone the repository :
git clone https://github.com/yourusername/consulting-agents-mcp.git
cd consulting-agents-mcp
Create and activate a virtual environment :
python -m venv mcp_venv
source mcp_venv/bin/activate # On Windows: mcp_venv\Scripts\activate
Install dependencies :
pip install -r requirements.txt
Set up API keys : Create a .env
file in the project root:
OPENAI_API_KEY=your_openai_api_key_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here
Start the server :
chmod +x start_mcp_server.sh
./start_mcp_server.sh
Integration with Claude Code
Register the MCP server with Claude Code:
claude mcp add ConsultingAgents /absolute/path/to/consulting-agents-mcp/start_mcp_server.sh
Start Claude Code with MCP integration:
claude --mcp-debug
Use the tools in Claude Code:
Now you can use consult_with_darren, consult_with_sonny, and consult_with_sergey functions in Claude Code.
Available Tools
The MCP server provides three consulting tools:
consult_with_darren
Uses OpenAI's o3-mini model with high reasoning to analyze code and provide recommendations.
Parameters:
consultation_context
: Description of the problem (required)
source_code
: Optional code to analyze
consult_with_sonny
Uses Claude 3.7 Sonnet with enhanced thinking to provide in-depth code analysis.
Parameters:
consultation_context
: Description of the problem (required)
source_code
: Optional code to analyze
consult_with_sergey
Uses GPT-4o with web search capabilities to find relevant documentation and examples.
Parameters:
consultation_context
: Description of what information or documentation you need (required)
search_query
: Optional specific search query to use
source_code
: Optional code for context
Advanced Configuration
Environment Variables
MCP_TRANSPORT
: Transport protocol (default: "stdio", alternatives: "http", "sse")
HOST
: Server host when using HTTP/SSE transport (default: "127.0.0.1")
PORT
: Server port when using HTTP/SSE transport (default: 5000)
HTTP API (When Using HTTP Transport)
When running with HTTP transport, the server provides these endpoints:
Health Check
GET /health
Returns server status and available agents.
Model Consultation
POST /consult
Request body for Darren or Sonny:
{
"agent": "Darren",
"consultation_context": "I have a bug in my code where...",
"source_code": "def example():\n return 'hello'"
}
Request body for Sergey:
{
"agent": "Sergey",
"consultation_context": "How do I implement JWT authentication in Express?",
"search_query": "express.js JWT auth implementation"
}
Troubleshooting
- MCP Server Not Found : Verify the absolute path in your claude mcp add command
- API Authentication Errors : Check that your API keys are correctly set in the .env file
- Connection Issues : Ensure the MCP server is running before starting Claude Code
- Debug Logs : Check the terminal where the MCP server is running for detailed logs
Development
Running in Development Mode
Start the server with debug output:
DEBUG=true ./start_mcp_server.sh
Test HTTP endpoints (when using HTTP transport):
Test Darren
curl -X POST http://localhost:5000/consult \
-H "Content-Type: application/json" \
-d '{"agent":"Darren","consultation_context":"Test message"}'
# Test Sonny
curl -X POST http://localhost:5000/consult \
-H "Content-Type: application/json" \
-d '{"agent":"Sonny","consultation_context":"Test message"}'
# Test Sergey
curl -X POST http://localhost:5000/consult \
-H "Content-Type: application/json" \
-d '{"agent":"Sergey","consultation_context":"Test message","search_query":"example"}'
Project Structure
mcp_consul_server.py
: Main MCP server implementation
start_mcp_server.sh
: Script to start the server with proper environment
requirements.txt
: Python dependencies
License
MIT
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.