Peers MCP Server Connects AI Coding Sessions for Collaboration
Peers is a local MCP server that enables Claude Code and Codex AI coding sessions to communicate and collaborate with each other. The tool was created after the developer found better results when having Claude Code review ChatGPT (Codex) output and vice versa.
Key Features
According to the source, Peers allows connected AI sessions to:
- Discover each other — Each session registers with a role, repository, branch, and information about what it's working on
- Collaborate through scratchpads — Shared append-only documents for reviews, discussions, and specifications
- Share artifacts — Publish diffs, type definitions, and test reports that other sessions can pull
- Hand off to Codex — Export and import full session context as structured markdown
How It Works
The server operates locally and connects AI coding sessions that would otherwise run in isolation. The developer mentions using it specifically with Claude Code and Codex sessions running in parallel.
The source includes a GitLab repository link for the project: https://gitlab.com/Dave3991/peers-mcp
The developer is seeking feedback, particularly from users who have tried running parallel AI coding sessions.
📖 Read the full source: r/ClaudeAI
👀 See Also
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Offload Routine Claude Code Work to Gemma via offload-mcp MCP Server
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AlterSpec v1.0: Runtime Policy Enforcement for AI Agents
AlterSpec v1.0 is an open-source runtime enforcement engine that sits between AI agents and their tools, evaluating actions against YAML-defined policies before execution. It provides allow/deny/review decisions, cryptographic policy signing, and audit logging.