Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Agent intercommunication - messaging, channels, shared state, and real-time events
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
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Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"agent-comm": {
"command": "npx",
"args": [
"-y",
"agent-comm"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add agent-comm -- npx -y agent-commPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"agent-comm": {
"command": "npx",
"args": [
"-y",
"agent-comm"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"agent-comm": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"agent-comm"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub keshrath, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (1.3.12) llegó al registro hace 36 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, FlyDocs
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Spec-driven development workflow: your agent works issues, sessions and the status lifecycle.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo