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Get-Concord-AI/concord-mcp

An open-source MCP server that lets coding agents like Claude Code, Codex and Cursor message each other, claim files and share task state locally.

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What is it?

Concord MCP is a local-first coordination layer for AI coding agents running in different harnesses. Agents can register presence, send direct prompts and replies to each other, claim files or modules before editing, and detect overlapping claims that would otherwise cause conflicting changes.

The shared state lives in a SQLite database inside the repository's .concord/ directory, alongside generated handoff and review-packet files. Ownership changes such as assignment, handoff offers and acceptance are versioned and recorded in an append-only history, so an agent can pick up a task with its context and evidence instead of reconstructing it from chat logs or diffs.

It is exposed as a single MCP server with a small set of tools, and it also ships a CLI with commands for status, task listing, overlap checks for hooks or CI, and a live terminal dashboard. Setup writes the MCP registration and instructions for supported clients.

Key features

  • 01Direct prompts and replies between agents across supported coding clients
  • 02Claims files and modules before work begins and flags overlaps
  • 03Versioned task ownership with explicit assignment and handoff acceptance
  • 04Local SQLite store with generated handoff and review-packet files
  • 05CLI commands and a terminal dashboard for inspecting agents and tasks

Use cases

  • Running Claude Code and Codex on the same repository without them editing the same files
  • Having one agent hand a task and its review evidence to another agent
  • Blocking conflicting edits with a pre-commit hook or CI check
  • Monitoring which agents are active and which claims have gone stale

Quick start

  1. 1

    Install the package globally with npm

    npm install -g @concord-ai/concord-mcp
  2. 2

    Go to your repository and run setup

    cd /path/to/your/repository
  3. 3

    Run concord setup in the repository

    concord setup
  4. 4

    Restart your agent clients

Things to know

  • Live delivery depends on the receiving harness and session state, and some integrations only leave durable pull messages.
  • Setup writes config into several agent client files, so it touches more of your environment than a typical CLI tool.

In collections

Multi-agent orchestration frameworksMCP servers for Claude CodeClaude Code tools, skills & pluginsOpen-source AI agent frameworks & appsAI coding assistants & agentsMCP servers

Topics

#mcp#ai-agents#coding-agents#claude-code#codex#developer-tools#multi-agent#typescript#agentic-coding#code-review

FAQ

What is concord-mcp?
An open-source MCP server that lets coding agents like Claude Code, Codex and Cursor message each other, claim files and share task state locally. Concord MCP is a local-first coordination layer for AI coding agents running in different harnesses. Agents can register presence, send direct prompts and replies to each other, claim files or modules before editing, and detect overlapping claims that would otherwise cause conflicting changes.
Is concord-mcp free to use? What license does it have?
concord-mcp is open source under the MIT license. Check the license terms before using it in commercial products.
Is concord-mcp still maintained?
Actively maintained. The last commit to concord-mcp was on Nov 6, 2026.
What can I use concord-mcp for?
Running Claude Code and Codex on the same repository without them editing the same files Having one agent hand a task and its review evidence to another agent Blocking conflicting edits with a pre-commit hook or CI check Monitoring which agents are active and which claims have gone stale
How do I install concord-mcp?
Install the package globally with npm: npm install -g @concord-ai/concord-mcp Go to your repository and run setup: cd /path/to/your/repository Run concord setup in the repository: concord setup Restart your agent clients
Where can I get concord-mcp?
The source code and installation instructions are on GitHub: https://github.com/Get-Concord-AI/concord-mcp

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