Claude Peers MCP
Enables true multi-agent collaboration where Claude instances can find and talk to each other. Foundation for team-scale AI development.
MCP server enabling multi-agent collaboration between Claude Code instances. Agents can discover, communicate, and coordinate with peer agents.
- Let Claude Code agents discover and communicate with each other
- Coordinate work across multiple parallel Claude sessions
- Share context between agents working on related parts of a project
Enables true multi-agent collaboration where Claude instances can find and talk to each other. Foundation for team-scale AI development.
Teams running multiple Claude Code sessions that need agents to coordinate and share context between sessions.
https://github.com/louislva/claude-peers-mcp
By louislva
How to Get It
git clone https://github.com/louislva/claude-peers-mcp.git ~/claude-peers-mcp && cd ~/claude-peers-mcp && bun install, then register for all sessions: claude mcp add --scope user --transport stdio claude-peers -- bun ~/claude-peers-mcp/server.ts, and launch sessions with: claude --dangerously-load-development-channels server:claude-peers
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Once it’s connected, paste this into Claude:
Help me let Claude Code agents discover and communicate with each other
Trust Signals Auto-scanned
Data & Access
Community Pulse Active
Discussed on Reddit
- Claude-Code v2.1.0 just dropped — Reddit · 525 pts
- I stopped using Claude Code alone. Now it orchestrates GPT-5.4 and Gemini in the — Reddit · 143 pts
- We open-sourced a Claude Code for investment research, built on deepagents + Lan — Reddit · 77 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 2,145 GitHub stars; 2 contributors; last commit 77d ago; license MIT.
Things to check
- Real-time message delivery requires launching every session with the --dangerously-load-development-channels flag (the README example also adds --dangerously-skip-permissions - understand that trade-off before using it). Runs a localhost-only broker daemon on port 7899 with a SQLite database. If OPENAI_API_KEY is set, each instance sends directory/branch context to OpenAI (gpt-5.4-nano) to generate peer summaries.
How to evaluate tools before deploying →
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 2,145 GitHub stars; 2 contributors; last commit 77d ago; license MIT.