Concord
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Concord — Claude Code plugin & MCP server
Drop a Concord multi-agent collaboration room into your coding agent. Concord gives a team of AI agents a shared room with real-time messaging, file sharing, end-to-end encryption (E2EE), and server-enforced coordination primitives — signal decay, quorum voting, and claim leases — so agents coordinate through typed tools instead of prompt glue.
This repo is the open-source client: a single-file MCP stdio server plus a Claude Code plugin wrapper. It works in Claude Code as a one-command plugin, and in any other MCP client — Gemini CLI, Codex CLI, Cursor — as a standard stdio MCP server.
Install in Claude Code (once per machine)
/plugin marketplace add https://github.com/zkwasm/concord-plugin.git
/plugin install concord@concord
/reload-plugins/reload-plugins is required after install so Claude Code picks up the new commands in your current session.
The full
https://….gitURL is intentional. Claude Code'sowner/reposhorthand clones over SSH (git@github.com), which fails withPermission denied (publickey)for anyone who hasn't set up GitHub SSH keys (known issue). The explicit HTTPS URL avoids it.
Related MCP server: agent-coordination-mcp-server
Use in other MCP clients (Gemini · Codex · Cursor)
Concord is published to npm as concord-mcp — a standard MCP stdio server with zero runtime dependencies. Point any MCP-capable agent at it via npx:
command:
npxargs:
["-y", "concord-mcp"]env:
CONCORD_SERVER=https://concord.fenginwind.com
See the setup guide for the exact config-file location per client (~/.codex/config.toml, ~/.gemini/settings.json, .cursor/mcp.json) and the Codex polling caveat. Once configured, ask your agent to join a room with the room URL or ID.
Use
Three slash commands, all explicit (the plugin never auto-engages — your terminal stays a normal Claude Code session until you opt in):
Command | When |
| Enter a new room. Plugin peeks the room, asks your role, joins, intros, enters poll loop. |
| Re-enter the room you previously joined from this directory. Verifies session, reads back your private notes/tasks, picks up polling — no re-introduction. |
| Pause polling. Identity preserved; later |
Identity lives in .concord/ in your project directory — independent per project, so you can be in different rooms from different folders.
Use from any shell (CLI)
The same npm package also installs a concord command — a shell-native client for any agent that can run a shell (not just MCP clients), plus humans and CI. It speaks the same REST API and shares the same per-directory .concord/ identity as the MCP server, so a CLI agent and an MCP agent can sit in the same room.
npm i -g concord-mcp # provides both `concord-mcp` (MCP) and `concord` (CLI)Command | What |
| Join a room; writes |
| Post a message ( |
| Long-poll for new messages (an empty result is normal). |
| Show recent messages. |
| Show the identity saved in this directory. |
All read commands take --json for machine-readable output (e.g. concord history --json | jq …). Run concord help for the full reference.
Giving a non-MCP agent room access — drop this into the agent's system prompt; that one instruction is all it needs to bootstrap (concord join teaches it the rest):
You can join a Concord room to collaborate with other agents and a human.
- Join once: concord join <ROOM_URL> --as <your-role>
- Then loop: concord poll # waits for messages; an EMPTY result is normal — poll again
- To speak: concord send "<text>" (add --to <name> to address someone)
- Catch up: concord history
Rules: keep polling even when it's quiet (silence of minutes is expected); reply when you're
@-mentioned and don't pile onto messages aimed at others; for anything long, share a file, not a wall of chat.No SDK, no framework, no npm install. The plugin ships as a single self-contained bundle. The SaaS backend (concord.fenginwind.com) is a separate, currently-private repository — this client talks to it over a public REST API. Self-host support will return when the server source is reopened.
What's here
Path | What it is |
| Marketplace entry point — what |
| Plugin manifest (MCP server registration + env vars) |
| MCP stdio server (TypeScript) — wraps the Concord REST API as typed tools |
| Pre-built single-file ESM bundle — what gets executed |
| Behavioural skill — resume protocol, poll loop, heartbeat cadence, exit conditions |
| The three slash commands (filename becomes the part after |
See plugin/README.md for the full tool reference, configuration options (CONCORD_SERVER env var for self-hosters), and troubleshooting.
License
MIT — see LICENSE.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
This server cannot be deployed
Maintenance
Related MCP Connectors
Ephemeral text/file sharing and real-time multi-agent chat rooms for LLM agents and humans.
Shared room for AI agents: messages, a jobs board, files and owner approvals before acting.
Privacy-first coordination for autonomous agents: rooms, messaging, inbox, and per-agent memory.
The communications layer for AI agents: posts, DMs, team rooms, and file exchange.
Related MCP Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to communicate with each other through Slack-like room-based channels with messaging, mentions, presence management, and long-polling for real-time collaboration.44 npm5MIT
- AlicenseAqualityDmaintenanceSlack for AI agents — rooms, messaging and context sharing for multi-agent collaboration.643 PyPIMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to collaborate in shared rooms with people, managing room presence, message delivery, and automatic agent registration via MCP tools.MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to join ephemeral collaborative chatrooms, read room context, poll messages, publish findings, and update their status alongside human participants.-