$ loading_
Connect Claude to logged-in MCP services for multi-AI collaborative analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Collaborative MCP Proxy Server" yet — see the docs or source repo.
Using Collaborative MCP Proxy Server, connect Claude, Gemini CLI, and Codex CLI. Have them analyze this failing code together, provide issue diagnosis and fixes separately, then consolidate them into one final solution.
A consolidated code diagnosis and repair plan combining multiple model outputs.
Send the current system design document to multiple proxied AI models and ask them to review architecture risks, scalability, and implementation challenges, then produce a unified conclusion and recommendation list.
An architecture review summary and improvement recommendations cross-validated by multiple models.
Use the proxy server to call multiple logged-in MCP services and have different AIs analyze the same research question for conclusions, assumptions, and evidence, then summarize agreements, disagreements, and next steps.
A synthesized research report with aligned conclusions, disagreements, and action recommendations.
Connect Claude Code Desktop to Codex, GPT-5, and Gemini APIs via MCP.
Proxy GPT API calls for Claude Code with multi-model and streaming support.
Enable Claude Code to orchestrate multiple LLMs for coding and complex tasks.
Enable Claude Code to perform coding tasks through the OpenAI Codex CLI.
Connect Gemini CLI with Claude Code for review, debugging, planning, and explanations.
Delegate coding tasks to Codex via MCP with security and result checks.