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PopNx MCPMCP servers for people who use AI · explained in plain words

Agent Comm

by keshrathversion 1.3.12i★ –iRuns on your computer
Registry nameio.github.keshrath/agent-comm

Install

Overview

Description from the maker (original English)

Agent intercommunication - messaging, channels, shared state, and real-time events

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agent-comm": {
      "command": "npx",
      "args": [
        "-y",
        "agent-comm"
      ]
    }
  }
}

Run this in your terminal

claude mcp add agent-comm -- npx -y agent-comm

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-comm": {
      "command": "npx",
      "args": [
        "-y",
        "agent-comm"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-comm": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "agent-comm"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account keshrath, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32606 servers in this category
  • Published to the registry more recently than 52% of the other 32606 servers in this category
  • Basic checks equal to or better than 100% of the other 32606 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agent Comm safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.3.12) reached the registry 36 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Georgia MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Georgia MCP

by abgeo

An MCP server for Georgian public data, read from the organizations that publish it.

Computer or cloudUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

agent-comm

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 ThemeDark Theme

Why

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-commWith agent-comm
DiscoveryAgents don't know others existAgents register with skills, discover by capability
CoordinationEdit the same file, create conflictsLock files/regions, divide work
CommunicationNone — each agent works blindMessages, channels, broadcasts
State sharingDuplicate work, missed contextShared KV store with atomic CAS
VisibilityNo idea what's happeningReal-time dashboard + activity feed shows everything

agent-comm gives them a shared communication layer:

  • Agents register with a name, capabilities, and skills so others can discover them
  • They discover each other by skill or tag for dynamic task routing
  • They exchange messages (direct, broadcast, or channel-based) to coordinate, with importance levels (low/normal/high/urgent) and optional ack
  • They poll their inbox with a blocking wait (comm_poll) so mid-flight peer signals are consumed without busy-looping
  • They share state (a key-value store with atomic CAS) for locks, flags, and progress
  • They log activity events (commits, test results, file edits) to a shared feed
  • They detect stuck agents — alive (heartbeat OK) but not making progress
  • They serialize file edits via the system-layer file-coord hook (see below) so parallel agents on shared files cannot clobber each other
  • A web dashboard shows everything in real time, including an Activity Feed tab

It works with any agent that supports MCP (stdio transport) or can make HTTP requests (REST API).

Why hooks, not just MCP tools

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 purityMIXED — bar.js, baz.js, foo.js, qux.jsPURE — baz.js, qux.js
Wall time91.0s78.8s (-13%)
Total cost$0.774$0.591 (-24%)
OutcomeA's WIP silently committed under B's nameclean 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.

How agent-comm fits together

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"]

Quick start

Install from npm
npm install -g agent-comm
Or clone from source
git clone https://github.com/keshrath/agent-comm.git

cd agent-comm npm install npm run build

Option 1: MCP server (for any MCP-compatible AI host)

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.

Option 2: Standalone server (for REST/WebSocket clients)
node dist/server.js --port 3421
Option 3: Automated setup (Claude Code)
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.

MCP tools (7)

ToolDescription
comm_registerRegister with name, capabilities, metadata, skills, and auto-join channels
comm_agentsAgent management — actions: list, discover, whoami, heartbeat, status, unregister
comm_sendSend messages — direct (to), channel, broadcast, reply (reply_to), forward (forward)
comm_inboxRead inbox (direct + channel messages, unread filter, importance filter, thread view via thread_id)
comm_pollBlock until a new inbox message arrives (supports timeout_ms and importance filter)
comm_channelChannel management — actions: create, list, join, leave, archive, update, members, history
comm_stateShared key-value state — actions: set, get, list, delete, cas

REST API

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

Agent visibility and status

comm_agents with action: "heartbeat" accepts an optional status_text parameter, letting agents update

Only the beginning is shown; read the rest in the repo

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