Collaborative MCP Proxy Server
Enables multi-AI collaborative analysis by proxying requests to existing login-based MCP servers (Gemini CLI and Codex CLI) from Claude Desktop or Claude Code.
README
🤖 Collaborative MCP Proxy Server
Multi-AI collaborative analysis system for Claude Desktop and Claude Code using existing login-based MCP servers.
✨ Features
- Multi-AI Collaboration: Integrates Ollama, Gemini CLI, Codex CLI, and Serena MCP
- ARM64 Mac Optimized: Native Apple Silicon performance
- Login-Based Authentication: Uses existing CLI configurations (no API keys needed)
- Privacy-Focused: Local processing with Ollama for sensitive data
- Pressure Vessel Analysis: Specialized engineering analysis capabilities
- Claude Integration: Works with both Claude Desktop and Claude Code
Installation
Prerequisites
- Node.js 18+
- Existing Gemini CLI MCP and Codex CLI MCP installed and logged in
- Claude Desktop or Claude Code
Setup
- Clone/Create the project:
mkdir collaborative-mcp-proxy
cd collaborative-mcp-proxy
# Copy the files: package.json, index.js, proxy-handler.js
- Install dependencies:
npm install
- Make executable:
chmod +x index.js
Configuration
Claude Desktop Configuration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"collaborative-proxy": {
"command": "node",
"args": ["/path/to/collaborative-mcp-proxy/index.js"]
}
}
}
Claude Code Configuration
Add to your MCP configuration:
{
"collaborative-proxy": {
"command": "node",
"args": ["/path/to/collaborative-mcp-proxy/index.js"]
}
}
Usage
Once configured, you can use the collaborative analysis in Claude:
Basic Analysis
Use the collaborate tool to analyze this pressure vessel specification...
Planning Mode
{
"tool": "collaborate",
"arguments": {
"task": "Create analysis plan for pressure vessel design",
"mode": "plan"
}
}
Full Analysis Mode
{
"tool": "collaborate",
"arguments": {
"task": "Analyze pressure vessel compliance with ASME standards",
"content": "Vessel specifications...",
"mode": "apply"
}
}
Review Mode
{
"tool": "collaborate",
"arguments": {
"task": "Review completed analysis",
"content": "Previous analysis results...",
"mode": "review"
}
}
Collaboration Modes
1. Plan Mode (mode: "plan")
- Creates detailed analysis plan using Gemini
- Identifies objectives, focus areas, and deliverables
- Best for complex tasks requiring upfront planning
2. Apply Mode (mode: "apply") - Default
- Performs full collaborative analysis
- Gemini: Comprehensive analysis and risk assessment
- Codex: Technical implementation and compliance analysis
- Generates synthesized consensus
- Most comprehensive option
3. Review Mode (mode: "review")
- Reviews and validates existing analysis
- Provides quality assessment and improvements
- Best for validation of completed work
How It Works
Architecture
Claude Desktop/Code
↓
Collaborative MCP Proxy
↓
┌─────────────┬─────────────┐
│ Gemini CLI │ Codex CLI │
│ MCP │ MCP │
│ (logged in) │ (logged in) │
└─────────────┴─────────────┘
Workflow
- Request: Claude sends collaboration request to proxy
- Distribution: Proxy calls individual MCPs via subprocess
- Collection: Proxy gathers results from each MCP
- Synthesis: Proxy generates consensus using Gemini
- Response: Combined analysis returned to Claude
Agent Specializations
- Gemini: System-level analysis, risk assessment, comprehensive evaluation
- Codex: Technical implementation, code quality, standards compliance
- Consensus: Synthesis of all perspectives with unified recommendations
Implementation Details
Subprocess Calling
The proxy server calls existing MCPs as subprocesses, preserving their login sessions:
const geminiProcess = spawn('gemini-cli-command', args);
const codexProcess = spawn('codex-cli-command', args);
Error Handling
- Timeout protection (2 minutes per MCP call)
- Graceful degradation if one MCP fails
- Detailed error logging for debugging
Mock Implementation
Current implementation includes mock responses for demonstration. To connect to real MCPs:
- Update
callGeminiMCP()to spawn actual Gemini CLI process - Update
callCodexMCP()to spawn actual Codex CLI process - Ensure proper JSON-RPC message formatting
Development
Testing
# Start the server in development mode
npm run dev
# Test with manual JSON-RPC calls
echo '{"jsonrpc":"2.0","method":"tools/list","id":1}' | node index.js
Debugging
The server logs to stderr, so you can monitor activity:
node index.js 2> debug.log
Extending
To add new MCPs or capabilities:
- Add new methods to
ProxyHandler - Update tool schema in
handleToolsList() - Implement subprocess calling logic
Troubleshooting
Common Issues
1. MCP Not Recognized
- Verify
claude_desktop_config.jsonpath is correct - Restart Claude Desktop after configuration changes
- Check file permissions on
index.js
2. Subprocess Errors
- Ensure Gemini CLI and Codex CLI are installed and logged in
- Verify MCP command paths are correct
- Check Node.js version (18+ required)
3. Timeout Issues
- Increase timeout in
proxy-handler.jsif needed - Check network connectivity for external MCP calls
- Monitor stderr logs for detailed error information
Logging
All server activity is logged to stderr:
# View logs while running
node index.js 2>&1 | grep "MCP Proxy"
License
MIT License - See LICENSE file for details
Contributing
- Fork the repository
- Create feature branch
- Add tests for new functionality
- Submit pull request
Roadmap
- [ ] Real MCP subprocess integration
- [ ] Configuration file support
- [ ] Advanced workflow orchestration
- [ ] Result caching and persistence
- [ ] Web UI for collaboration management
- [ ] Integration with more AI models
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