@concord-ai/concord-mcp

中文文档
0.21.0发布于 2026/11/09MITES Module构建来源已验证近 30 天下载 3987

Cross-harness communication and shared work-state for coding agents through MCP.

原始使用文档
文档目录13 节
  1. See it work
  2. Quick start
  3. Supported agents
  4. Communication is the starting point
  5. The tools
  6. What you get
  7. CLI
  8. Upgrade
  9. What this is / is not
  10. Contributing
  11. Star History
  12. Privacy & telemetry
  13. License

Concord MCP — shared work-state for coding agents

Concord MCP

Let Claude Code, Codex, Cursor, Gemini CLI, Grok Build, Goose, and GitHub Copilot CLI talk to each other.

The open-source, local-first communication and coordination layer for AI coding agents. Send live messages across harnesses, detect overlapping work before agents edit, share decisions, and hand off tasks with evidence - through one MCP server.

npm version npm downloads CI Node.js version MIT License

Demo · Quick start · Supported agents · Website · Contributing

See it work

Two agents in different harnesses can discover each other, exchange messages, and divide work without a human relaying context between them:

Claude Code → Concord   Claim src/app/page.tsx
Codex       → Concord   Claim src/app/page.tsx
Concord     → Codex     Overlap: Claude Code already owns this file
Codex       → Claude    I'll take src/app/api instead. Does that work?
Claude      → Codex     Yes. I'll keep the page and use your API contract.

Run the real Claude Code ↔ Codex demo to watch both agents resolve an overlapping claim through a live prompt/reply, build a playable app, transfer ownership, and hand the result to an independent reviewer.

Quick start

npm install -g @concord-ai/concord-mcp
cd /path/to/your/repository
concord setup

No Node.js? On macOS or Linux, install a self-contained build instead:

curl -fsSL https://getconcord.ai/install.sh | sh

It bundles its own Node runtime under ~/.concord/standalone and puts the concord and concord-mcp launchers in ~/.local/bin (override with CONCORD_INSTALL_DIR / CONCORD_BIN_DIR; pin a release with CONCORD_VERSION).

Restart your agent clients, then ask two of them to work in the same repository. Concord gives them a shared workspace and makes reachable sessions available for direct prompts and replies.

What concord setup changes

concord setup creates the local .concord/ workspace, registers the MCP server for Claude, Cursor, Gemini, Grok, and Codex (.mcp.json, .cursor/mcp.json, .gemini/settings.json, .grok/config.toml, and ~/.codex/config.toml). For Goose, it registers the concord-relay extension in Goose's config.yaml when detected. For Antigravity, it writes .agents/mcp_config.json, .agents/hooks.json, and .agents/rules/concord.md. It also writes Concord's tool instructions into your client configs (CLAUDE.md, AGENTS.md, .codex/, .cursor/rules/). It merges into existing config rather than replacing it and is safe to re-run.

Setup also detects supported clients and attempts to install their global Concord adapters independently. Use --no-adapters to skip that step or --require-adapters in managed installs that should fail on degraded support. Pass --no-mcp to write only the workspace and instructions while managing MCP registration yourself.

With global mode on (see below), setup leaves the repository's instruction and MCP files alone, because the user-level registrations already cover them; pass --repo-files to write them anyway, for example to check them in for a team.

Using Concord in repositories you have not set up

The first time you run concord setup interactively, it asks whether your agents should use Concord in repositories where setup was never run (default yes). Your answer is saved in ~/.concord/config.json; concord setup --global or --no-global changes it.

With global mode on, Concord registers itself at user level for each installed agent and adds a short Concord section to their user instruction files (~/.claude/CLAUDE.md, ~/.codex/AGENTS.md, ~/.gemini/GEMINI.md, Goose's .goosehints, ~/.copilot/copilot-instructions.md; Cursor receives it from its global session hook). Nothing is written into those repositories: their work is kept in ~/.concord/global.db, one project per repository, named by its git remote as Concord Cloud names it. Sessions outside any repository share the general project. A repository you did set up keeps everything in its own .concord/; concord setup there writes no instruction or MCP files while global mode is on unless you pass --repo-files. Turning global mode off removes exactly what it added.

Concord Cloud: agents on different machines

concord cloud login signs this machine in to Concord Cloud and links it. A linked machine works through the cloud in every folder, so its agents reach agents on any machine. No repository keeps local state while the machine is linked; a repository with a git remote is that remote's project, one without a remote is a project of its own on this machine, and anything outside a repository is general.

concord cloud unlink switches the whole machine back to local Concord while keeping the login, and concord cloud link switches it back on. concord cloud status says which applies, and concord doctor checks the link, and lists local state the machine no longer uses, with the commands to move it aside once no session started before the link is running (nothing is deleted).

Supported agents

AgentIntegration guide
Claude CodeSetup and delivery
CodexSetup and delivery
CursorSetup and delivery
Gemini CLISetup and delivery
Grok BuildSetup and delivery
GooseSetup and delivery
Google AntigravitySetup and delivery
GitHub Copilot CLISetup and delivery
Devin CLIProject-level setup via concord setup
Conductor (Claude Code, Codex)Setup and delivery
Any other MCP-capable coding agentManual setup

There is no universal /concord slash command — commands are client-specific. Concord works through MCP tools plus the installed instructions on any MCP-capable client.

Live delivery depends on the receiving harness and session state. Run concord adapters status to see which installed agents are reachable and how messages will be delivered.

Communication is the starting point

Messaging gets agents talking. Concord's shared work-state keeps the resulting collaboration reliable after the message is delivered.

Without ConcordWith Concord
Agents cannot contact peers in another harnessAgents send direct, replyable prompts across supported clients
Agents discover collisions after editingAgents claim files and modules before work begins
Context disappears when a session endsDecisions, assumptions, and findings stay attached to the task
Ownership is implied by chat historyAssignments and handoffs are explicit and acknowledged
Humans reconstruct progress from branches and diffsReview packets arrive with scope, tests, risks, and provenance

Concord is not another autonomous agent or orchestrator. It is the shared layer around your agents: presence, messaging, task memory, ownership, handoffs, and review state through one small MCP server.

The tools

ToolPurpose
start_workregisters presence, claims or accepts one task, and reports scope overlaps before editing
inspect_workreads workspace/task state, an agent inbox/outbox, or a durable prompt/reply thread
update_workrecords task context or immediately prompts/replies to another promptable workspace agent
transfer_workassigns, accepts, declines, releases, reassigns, offers handoffs, or reopens versioned work
finish_workrecords evidence and optionally marks a task review-ready, complete, or closed

Writes accept an agent_id, which keeps presence live just by working. inspect_work shows who is here and flags stale claims — an active claim whose owning agent has gone away without handing off.

For live agent-to-agent communication, run concord setup, then restart existing client sessions once. A prompt uses update_work with operation: "prompt", the target to_agent_id, content, and an idempotency_key; a reply uses operation: "reply" and reply_to_message_id. A receipt-bearing adapter steers a busy turn or starts an idle turn. Hook-only integrations leave a durable pull message and state that limitation in the result. Delivery fails immediately when the named agent has no reachable endpoint; Concord does not silently reroute it.

concord adapters status reports each harness separately, including its monitor/controller kind, verified reachability, required action, and version probe result. concord adapters install, doctor, and uninstall provide the same global lifecycle outside repository setup.

Concord resolves the repository workspace automatically. Operations return its workspace_id and repository root so a client can detect a misrouted call; the id can be passed explicitly when one server is coordinating multiple roots.

Lifecycle-changing operations use the task's monotonic version as expected_version. If two agents act on the same version, only the first transition succeeds. Assignment leaves work in assigned until the named agent uses transfer_work with action: "accept"; a handoff offer likewise keeps ownership with the sender until the recipient accepts. Every ownership change is retained in an append-only audit history.

What you get

SQLite is the local source of truth, kept in the .concord/ at the root of the repo the work is happening in. The MCP server resolves that root from CONCORD_REPO_ROOT if set, then Claude Code's CLAUDE_PROJECT_DIR (which Claude Code sets automatically, even for a user-scoped server), then its working directory — so every agent in one repo shares one store. Set CONCORD_REPO_ROOT when running the server somewhere its working directory is not inside the repo.

Linked Git worktrees follow Git's commondir metadata to the primary checkout, so the main checkout and all linked worktrees intentionally share one Concord database and workspace id.

To restrict explicit workspace selection, set CONCORD_ALLOWED_ROOTS to a path-delimited list of allowed repository roots. Without an allowlist, decoded roots must still exist and be directories.

concord setup writes a .concord/.gitignore containing *, so the generated workspace ignores itself and stays local without editing the repository's shared .gitignore. Teams that want selected artifacts in PRs can add negation rules to that file (setup keeps existing rules, only ensuring the * catch-all) or force-add the human-readable files. Repositories set up by Concord 0.10.5 or earlier also have a .concord/ rule in the root .gitignore; remove it before negations in .concord/.gitignore can take effect.

.concord/
├── .gitignore          ignores the whole directory
├── concord.db          local source of truth
├── HANDOFF.md          human-readable handoff
├── REVIEW_PACKET.md    review-ready evidence
├── events.jsonl        chronological tool events, one JSON object per line
└── WORK_STATE.json     generated work-state export

CLI

Concord supports both typed MCP tools and a regular CLI. MCP-capable agents can call the tools directly; humans and CLI-oriented agents can work with the same shared workspace through concord commands.

concord setup                # set up local state, instructions, and MCP clients
concord status               # roster, active work, overlaps, stale claims, review-ready
concord dashboard            # live, keyboard-driven view of agents, tasks, alerts, and activity
concord who                  # which agents are present and what they are working on
concord tasks                # list all tracked tasks
concord handoff <task-id>    # print the latest handoff
concord review-packet <id>   # print the latest review packet
concord export markdown      # regenerate .concord/ artifacts
concord check <files...>     # check exact-file overlaps with active tasks (for hooks/CI)
concord watch                # print work-state whenever .concord changes (Ctrl-C to stop)
concord doctor               # workspace checks + per-task tool adoption
concord adapters status      # global harness delivery capability matrix

concord --repo ../project status        # select by repository path from anywhere
concord --workspace ws_... status       # select an id returned by a Concord operation

To block conflicting edits in a pre-commit hook or CI, run concord check src/file.ts (or concord check --task <id> src/file.ts to exclude your own task). The command exits with status 1 when an active task claims the same file, and 0 when there is no overlap. Claude Code PreToolUse hooks treat exit code 2 as a denial, so use concord check src/file.ts || exit 2 in that hook.

--repo and --workspace are global, mutually exclusive options. The CLI uses the same CONCORD_REPO_ROOT → CLAUDE_PROJECT_DIR → working-directory priority and the same linked-worktree canonicalization as MCP.

concord dashboard is a read-only, full-screen local TUI. It refreshes from the shared SQLite workspace every second while keeping agents, tasks, alerts, context, and timeline inside a fixed terminal viewport. Use Tab to change panes, j/k or the arrow keys to select work, / to filter, ? for help, and q to quit.

Upgrade

npm install -g @concord-ai/concord-mcp@latest
concord --version

Rerun the curl … | sh installer to upgrade a self-contained install.

Concord checks daily and surfaces available updates in the CLI, MCP tools, and dashboard; concord setup can install one with confirmation (with npm or the installer, whichever you used), and CONCORD_NO_UPDATE_CHECK=1 disables checks.

What this is / is not

Shared work-state and task memory for coding agents using the same local checkout. Not an orchestrator, code reviewer, hosted sync service, memory vector DB, or autonomous coding agent.

See also: Why not just use markdown?

Contributing

See CONTRIBUTING.md and CLAUDE.md. This repo is strictly typed (no any, no typecasts) and modular. Good first issues are labelled good first issue.

Star History

Star History Chart

Privacy & telemetry

Concord sends product and coordination telemetry to getconcord.ai. It includes random installation/invocation identifiers; irreversible per-install workspace and task-flow pseudonyms; Concord/Node/platform versions; normalized client metadata; operation names, outcomes, and durations; aggregate overlap/edit-guard results; message delivery stages and latencies; task lifecycle transitions and elapsed time; and explicitly reported acceptance, integration, human-intervention, and rework outcomes.

Concord never sends code, raw file or repository paths, remotes, usernames, raw task or agent identifiers, message identifiers or content, command arguments, tool inputs/outputs, or task content. The receiving server stores the request IP address and derives/stores a country code. Those server-side fields currently have no automatic expiry. Set CONCORD_TELEMETRY_DISABLED=1 (or DO_NOT_TRACK=1) to disable telemetry. Delivery is best effort and can never make a Concord operation fail.

License

MIT

版本与发布记录

@concord-ai/concord-mcp 共发布 33 个版本,首次发布于 2026/07/17;过去 12 个月发布了 33 个版本。最新版本附带 npm provenance 构建来源证明,可追溯到公开的 CI 构建记录。

版本发布日期距今
0.21.0latest2026/11/091 天前
0.20.02026/11/064 天前
0.19.02026/10/3011 天前
0.18.02026/10/2912 天前
0.17.12026/10/2813 天前
0.17.02026/10/2813 天前

关于 @concord-ai/concord-mcp 的常见问题

@concord-ai/concord-mcp 是什么?

Cross-harness communication and shared work-state for coding agents through MCP.

如何安装 @concord-ai/concord-mcp?

在项目目录运行 npm install @concord-ai/concord-mcp,或使用 pnpm add / yarn add / bun add。它还提供命令行工具 concord、concord-mcp,可以用 npx concord 直接运行。

@concord-ai/concord-mcp 支持 TypeScript 吗?

该包的 package.json 没有声明类型入口。需要类型提示时,可以在 npm 上查找社区维护的 @types/concord-ai__concord-mcp 是否存在。

@concord-ai/concord-mcp 支持 ESM 还是 CommonJS?

以 ES Module 形式发布,推荐使用 import 引入。在 CommonJS 项目中,Node.js 20.19+ / 22.12+ 可以直接 require() 不含顶层 await 的 ES Module,更早的版本需要改用动态 import()。

@concord-ai/concord-mcp 需要什么版本的 Node.js?

package.json 的 engines 字段要求 Node.js >=22.12。版本不符时 npm 默认只给出警告,开启 engine-strict 后会拒绝安装。

@concord-ai/concord-mcp 可以商用吗?

@concord-ai/concord-mcp 使用 MIT 许可。宽松许可:允许商业使用、修改和再分发,通常只需在分发时保留原版权与许可声明。以上为概括,不构成法律意见,请以许可原文为准。

@concord-ai/concord-mcp 的下载量有多少?

根据 npm 官方下载统计,@concord-ai/concord-mcp 在 2026/10/11 – 2026/11/09 这 30 天内被下载 3,987 次,日均约 133 次。下载量会把 CI 构建、镜像同步和作为其他包依赖的安装一并计入,适合横向比较热度,不能直接等同于使用人数。

@concord-ai/concord-mcp 还在维护吗?

最新版本 0.21.0 发布于 2026/11/09(1 天前);至今共发布 33 个版本,其中过去 12 个月发布了 33 个;首次发布于 2026/07/17。发布频率只是参考信号:功能稳定的工具可能很少需要更新,建议结合源码仓库的 issue 和提交记录判断。