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  1. Home
  2. 🤖 Coding Agents
  3. Concord MCP
Concord MCP logo
Health: ActiveRecent health check succeeded.Last checked 10/4/2026, 7:46:32 AM

Concord MCP

User RatingsBe the first to rate and review this MCP server!
View Repository398 GitHub StarsTotal stargazers on GitHub for the source repository (398 stars).Visit Website
coding-agentscollaborationtask-managementmcp

Coordinates coding agents across harnesses with shared task state, messaging, ownership, handoffs, and review evidence.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP
Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below — values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "concord-mcp": {
      "url": "https://api.star-history.com/chart?repos=Get-Concord-AI/concord-mcp&type=date&theme=dark&legend=top-left&sealed_token=PLqZk9LDZSite53TJb5bwyYask4-B5wAFxLcp3Ki_mJ3KlMtSpH09lN3ohwJuoQNs5Kwg_0zPG2DEwcRzJZvCIP1Md6vMdHjNwF_WkjuX6gd44wkwWFzqrAWgXGx2bPFEuJFRhmuWUlbRLnPOw6uW7cVJzrlcxprXCDU3_hHmUlHaFjVjQulH7EkfyuA",
      "env": {
        "CONCORD_REPO_ROOT": "YOUR_VALUE_HERE"
      }
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🤖 More in Coding Agents

Overview

Concord MCP MCP server coordinates AI coding agents working in the same repository through shared local state and MCP tools. It provides presence, file and module claims, cross-harness prompts and replies, task context, ownership transfers, handoffs, and review records backed by SQLite. Use it when agents in Claude Code, Codex, Cursor, Gemini CLI, or other MCP-capable clients need to avoid overlapping edits or preserve collaboration context. The setup command creates a repository workspace and registers supported client configurations.

Use cases

•Coordinate agents editing the same repository
•Claim files before making changes
•Send prompts and replies across coding harnesses
•Transfer tasks with explicit ownership
•Record evidence for review-ready work

Key features

•Shared SQLite work-state
•File and module overlap detection
•Cross-harness prompts and replies
•Task assignments and handoffs
•Append-only ownership history
•Review evidence and lifecycle states

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Concord MCP.

Extracted Tool Capabilities
Shared SQLite work-state
File and module overlap detection
Cross-harness prompts and replies
Task assignments and handoffs
Append-only ownership history
Review evidence and lifecycle states

How Concord MCP works

What the Concord MCP MCP server does

Concord MCP MCP server provides a shared coordination layer for coding agents that operate in different client harnesses. It stores work state locally in a SQLite database under the repository’s .concord/ directory. Agents can register their presence, claim work, exchange messages, record decisions, transfer ownership, and submit evidence for review without relying on a human to relay context.

The system is intended for multiple agents working on one repository. It is not an autonomous agent or an orchestrator. Instead, it gives existing agents a common view of tasks, ownership, messages, handoffs, and review status. Claims can cover files or modules, allowing an agent to identify overlapping work before making edits.

How it works

The server resolves the repository workspace from CONCORD_REPO_ROOT, then Claude Code’s CLAUDE_PROJECT_DIR, and finally its current working directory. Linked Git worktrees use Git’s shared commondir metadata, so linked checkouts and the primary checkout use the same Concord database.

Five MCP tools expose the coordination workflow. start_work registers presence and begins or accepts a task while reporting scope conflicts. inspect_work reads workspace and task state, inbox or outbox messages, and durable prompt/reply threads. update_work records context or sends a prompt or reply. transfer_work manages assignments, acceptance, declines, releases, reassignments, handoff offers, and reopened work. finish_work records evidence and can move a task to review-ready, complete, or closed status.

Writes include an agent_id, which keeps presence current. Task lifecycle changes use an expected monotonic version, so only the first operation against a given version succeeds. Ownership changes remain in an append-only audit history, and stale claims are reported when an agent disappears without handing off its work.

Setup and configuration

Install the package globally with npm, change to the repository, and run concord setup. Setup creates .concord/, registers the MCP server for supported clients, and adds Concord instructions to relevant client configuration files. It merges with existing configuration and can be run again.

The setup process can also attempt to install global adapters for detected clients. Use --no-adapters to skip adapter installation, --require-adapters when degraded support should cause a managed installation to fail, or --no-mcp when MCP registration will be handled separately. Set CONCORD_REPO_ROOT when the server runs outside the repository it should coordinate.

Tools and capabilities

The Concord MCP MCP server supports direct prompts and replies between reachable workspace agents. A prompt identifies the recipient with to_agent_id and includes an idempotency key; replies refer to the original message. Adapter status reports reachability, monitor or controller type, required action, and version probe results. The concord adapters status, install, doctor, and uninstall commands manage adapters outside repository setup.

Delivery behavior depends on the receiving harness and its session state. A receipt-bearing adapter can steer a busy turn or start an idle one. Hook-only integrations leave a durable message for later retrieval. If the named agent has no reachable endpoint, delivery fails rather than being silently redirected.

Limitations and notes

Live delivery requires setup, restarted client sessions, and a reachable receiving harness. Other MCP-capable coding agents can use the shared work-state tools, but their live delivery behavior depends on their integration. There is no universal Concord slash command; clients use MCP tools and installed instructions instead.

The local SQLite database is the source of truth and is stored at the repository root. Operations return the workspace identifier and repository root so clients can detect a misrouted operation. An explicit workspace identifier can be supplied when one server coordinates multiple repository roots. Assignments remain assigned until the named agent accepts them, and handoff offers remain with the sender until acceptance.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
398
Stargazers on the source repository.
Last commit
6d ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Concord MCP

Concord MCP is an MCP server that connects coding agents across Claude Code, Codex, Cursor, Gemini CLI, and other MCP-capable clients. Its main tools register presence, claim work, inspect shared state, exchange prompts and replies, transfer ownership, and record completion or review evidence in a local repository workspace.

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Technical Specs & Signals

Category🤖Coding Agents
More technical detailsExpand ▾
TransportSSE (Remote)
LicenseMIT
ClientsClaude Code, OpenAI Codex CLI, Cursor, Gemini CLI
Last updatedOct 6, 2026
6/6 checks healthy over the last 40d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars398
GitHub Star CountTotal stargazers on GitHub representing community popularity (398 stars).
Last commit6d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 2, 2026
45Quality signal: Fair · 45/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools15/30
Adoption & activity9/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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