Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Agent intercommunication - messaging, channels, shared state, and real-time events
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"agent-comm": {
"command": "npx",
"args": [
"-y",
"agent-comm"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add agent-comm -- npx -y agent-comm프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"agent-comm": {
"command": "npx",
"args": [
"-y",
"agent-comm"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"agent-comm": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"agent-comm"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 keshrath 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.3.12)은 36일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Python MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Local-only Python MCP server for the Files.com API.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Agent-agnostic intercommunication system. Lets AI coding agents — Claude Code, Codex CLI, Gemini CLI, Aider, or any custom tool — talk to each other, share state, and coordinate work in real time.
| Light Theme | Dark Theme |
|---|---|
When you run multiple AI agents on the same codebase — code review in one terminal, implementation in another, testing in a third — they have no idea the others exist. They duplicate work, create merge conflicts, and miss context.
| Without agent-comm | With agent-comm | |
|---|---|---|
| Discovery | Agents don't know others exist | Agents register with skills, discover by capability |
| Coordination | Edit the same file, create conflicts | Lock files/regions, divide work |
| Communication | None — each agent works blind | Messages, channels, broadcasts |
| State sharing | Duplicate work, missed context | Shared KV store with atomic CAS |
| Visibility | No idea what's happening | Real-time dashboard + activity feed shows everything |
agent-comm gives them a shared communication layer:
low/normal/high/urgent) and optional ackcomm_poll) so mid-flight peer signals are consumed without busy-loopingfile-coord hook (see below) so parallel agents on shared files cannot clobber each otherIt works with any agent that supports MCP (stdio transport) or can make HTTP requests (REST API).
The MCP tools (comm_state, etc.) give agents the _primitives_ to coordinate, but they don't _enforce_ coordination — the agent has to remember to call them. Our bench measured what happens when you rely on the model's discretion: even with strict procedural prompting, Claude follows the protocol on the first claim cycle then drifts back to "be helpful, finish the task." Soft coordination is unreliable.
The fix is a pair of PreToolUse hooks shipped in scripts/hooks/: `file-coord` intercepts every Edit/Write/MultiEdit and claims the file via REST POST /api/state/file-locks/ /cas (blocks the edit if another agent holds the lock); `bash-guard` intercepts git commit, git push, npm install, npm test, builds, migrations, and dev-server starts and blocks/warns when they would conflict with another session's WIP. The protocol becomes infrastructure, not a prompt the agent might ignore.
The bench's headline pilot is `multi-term-commit` — directly modeling the daily pain of two terminal sessions on the same project. Session A edits two files but doesn't commit. Session B then edits two other files and runs git commit -am "my work". Without the hook, B's commit silently includes A's WIP. With the hook, B's commit is blocked at the bash layer with an actionable message, and B reacts (selective staging, restore, or coordinate). Bench result:
| naive (no hook) | with hooks | |
|---|---|---|
| Commit purity | MIXED — bar.js, baz.js, foo.js, qux.js | PURE — baz.js, qux.js |
| Wall time | 91.0s | 78.8s (-13%) |
| Total cost | $0.774 | $0.591 (-24%) |
| Outcome | A's WIP silently committed under B's name | clean commit, no clobber |
The hook is faster AND cheaper, not just safer. Reason: when agents lack coordination on shared workspaces, they read stale state, get confused mid-task, retry, and re-think. Serializing access and surfacing the conflict early removes that wasted thinking. Run npm run setup to install both hooks automatically; see Setup → File Coordination for manual install on Claude Code, OpenCode, or any custom MCP client. See bench/README.md for the measurement methodology.
agent-comm is a single Node process that exposes three transports — MCP stdio (for AI hosts), REST + WebSocket (for hooks, dashboards, custom scripts) — backed by a SQLite database in WAL mode. Hooks installed in your Claude Code (or other host) settings call the REST endpoint at localhost:3421 to claim file locks, query who-edited-what, and broadcast presence. The dashboard UI at the same port is a live view of every agent, message, channel, and shared-state entry. Multiple AI hosts can connect simultaneously and see the same world.
graph TD
A["Agent A (Claude Code)"] -->|MCP stdio| COMM B["Agent B (Codex CLI)"] -->|MCP stdio| COMM C["Agent C (Custom script)"] -->|REST API| COMM HK["PreToolUse hooks (file-coord, bash-guard)"] -->|REST cas| COMM
subgraph COMM["agent-comm"] D["Agents Register, discover, heartbeat"] E["Messages Direct, broadcast, channels, threads"] F["State Namespaced KV with CAS"] G["Events Real-time pub/sub"] D --> DB["SQLite DB WAL mode, FTS5 search"] E --> DB F --> DB DB --> WS["WebSocket"] end
WS --> UI["Dashboard UI http://localhost:3421"]
npm install -g agent-comm
git clone https://github.com/keshrath/agent-comm.git
cd agent-comm npm install npm run build
agent-comm runs as a stdio MCP server, so any MCP-compatible host can use it. Tested hosts include Claude Code, Cline, OpenCode, Cursor (read-only state), Windsurf, Codex CLI, Aider, and Continue.dev. Adapter recipes for each are in docs/SETUP.md.
Generic MCP config:
{
"mcpServers": { "agent-comm": { "command": "npx", "args": ["agent-comm"] } } }
Add this to your host's MCP config file (the path varies by host — ~/.claude.json for Claude Code, ~/.config/opencode/config.json for OpenCode, ~/.cursor/config.json for Cursor, etc. — see the per-host sections in docs/SETUP.md).
The dashboard auto-starts at http://localhost:3421 on the first MCP connection regardless of which host is connected.
node dist/server.js --port 3421
npm run setup
Registers the MCP server in ~/.claude.json, installs the hook scripts (lifecycle + file-coord + bash-guard), and configures permissions. Other hosts: see docs/SETUP.md for the per-host integration recipes — every host that supports pre-tool-call hooks can use the same file-coord.mjs script unchanged.
| Tool | Description |
|---|---|
comm_register | Register with name, capabilities, metadata, skills, and auto-join channels |
comm_agents | Agent management — actions: list, discover, whoami, heartbeat, status, unregister |
comm_send | Send messages — direct (to), channel, broadcast, reply (reply_to), forward (forward) |
comm_inbox | Read inbox (direct + channel messages, unread filter, importance filter, thread view via thread_id) |
comm_poll | Block until a new inbox message arrives (supports timeout_ms and importance filter) |
comm_channel | Channel management — actions: create, list, join, leave, archive, update, members, history |
comm_state | Shared key-value state — actions: set, get, list, delete, cas |
All endpoints return JSON. Loopback only: foreign Host/Origin headers get 403, request bodies must be application/json, no wildcard CORS. See full API reference for details.
GET /health Server status + uptime
GET /api/agents List online agents GET /api/agents/:id Get agent by ID or name GET /api/agents/:id/heartbeat Agent liveness (status + heartbeat age) GET /api/channels List active channels GET /api/channels/:name Channel details + members GET /api/channels/:name/members Channel member list GET /api/channels/:name/messages Channel messages (?limit=50) GET /api/messages List messages (?limit=50&from=&to=&offset=) GET /api/messages/:id/thread Get thread GET /api/search?q=keyword Full-text search (?limit=20&channel=&from=) GET /api/state List state entries (?namespace=&prefix=) GET /api/state/:namespace/:key Get state entry GET /api/feed Activity feed events (?agent=&type=&since=&limit=50) GET /api/overview Full snapshot (agents, channels, messages, state) GET /api/export Full database export as JSON
POST /api/messages Send a message (body: {from, to?, channel?, content}) POST /api/state/:namespace/:key Set state (body: {value, updated_by}) POST /api/state/:namespace/:key/cas Atomic compare-and-swap (file-coord hook uses this) DELETE /api/messages Purge all messages DELETE /api/messages Delete messages by filter DELETE /api/messages/:id Delete a message (body: {agent_id}) DELETE /api/state/:namespace/:key Delete state entry DELETE /api/agents/offline Purge offline agents POST /api/cleanup Trigger manual cleanup POST /api/cleanup/stale Clean up stale agents and old messages POST /api/cleanup/full Full database cleanup
comm_agents with action: "heartbeat" accepts an optional status_text parameter, letting agents update
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요