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Claude Peers MCP

Connector Development Solid
Works inClaude Code Claude Cowork Claude Chat
Solid Scanned — metadata only

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.

2,169 starsMIT (commercial OK)FreeDeveloper setup

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.

Claude Code Claude Cowork Claude Chat

https://github.com/louislva/claude-peers-mcp

By louislva

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
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.

First thing to try

Once it’s connected, paste this into Claude:

Help me let Claude Code agents discover and communicate with each other
PrerequisitesBun runtime; Claude Code v2.1.80+; claude.ai login (the channels feature requires it - API key auth won't work). Optional: OPENAI_API_KEY enables automatic peer summaries.CostFree

Trust Signals Auto-scanned

Stars2,169Contributors2Last updated2026-04-26LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-19 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Active

Discussed on Reddit

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 →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedJul 2026
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 2,145 GitHub stars; 2 contributors; last commit 77d ago; license MIT.

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