Agents MCP Server
MCP server for agent-to-agent communication over NATS with live session push via Claude Code Channels.
README
Agents MCP Server
MCP server for agent-to-agent communication over NATS with live session push via Claude Code Channels. State is in-memory; history lives on a JetStream stream; transport is single-bus (AGENTS_NATS_URL); delivery is uniform for local and cross-host targets. Runs as stdio (one process per user) or as a shared remote server over streamable HTTP.
Design Principles
Built following Block's MCP Playbook:
- Outcomes, not operations — one tool = one agent story
- Flatten arguments — primitives, enums, strong defaults
- Instructions are context — descriptions are prompts for LLMs
- Respect token budget — every response reports
_meta: {chars, lines, ms} - Curate ruthlessly — fewer tools = less LLM decision overhead
Prerequisites
- A NATS server reachable via
AGENTS_NATS_URL, with JetStream enabled - For local stdio use: Node.js >= 18
- For remote HTTP deploys: a container runtime (Docker / Kubernetes)
No DuckDB, no on-disk state, no schema migrations.
Transports
The server picks its transport at boot via AGENTS_TRANSPORT:
| Mode | Value | Use case |
|---|---|---|
| stdio (default) | stdio |
One MCP process per user, spawned by Claude Code over stdin/stdout |
| HTTP | http |
Single shared process fronted by streamable HTTP; each Claude Code session negotiates its own binding |
Stdio binding is implicit from the moment agent_register is called; HTTP binding is per-session (each connected client carries its own sessionBinding). In both modes, the same tool set and the same NATS subjects are in use — callers see no semantic difference.
Install / Update (local stdio)
One command, idempotent — works the same on first install and for every subsequent update:
curl -fsSL https://raw.githubusercontent.com/Piotr1215/agents-mcp-server/main/scripts/install.sh \
| bash -s -- --nats-url=nats://your-endpoint:4222
On update, --nats-url is optional — the existing endpoint in ~/.claude.json is preserved:
curl -fsSL https://raw.githubusercontent.com/Piotr1215/agents-mcp-server/main/scripts/install.sh | bash
Then /mcp reconnect in any active Claude session (or relaunch claude). That's it.
What the installer does:
- Verifies prereqs:
git,node >= 18,npm,jq. Hard-fails with a clear message if any are missing. - Clones (first run) or fast-forward pulls (subsequent runs) into
~/.local/share/agents-mcp-server(override with--dirorAGENTS_MCP_DIR). - Runs
npm install, which triggers thepreparescript (tsc) — no manualnpm run buildstep, ever. - Writes/updates the
mcpServers.agentsentry in~/.claude.jsonusingjq(idempotent, preserves every other entry). Backs up the file to~/.claude.json.bak-<epoch>before writing.
Prefer to review before running
curl -fsSL https://raw.githubusercontent.com/Piotr1215/agents-mcp-server/main/scripts/install.sh -o install.sh
less install.sh
bash install.sh --nats-url=nats://your-endpoint:4222
Local development
Clone the repo directly and use npm link. The prepare script means every npm install rebuilds, and npm run build / npm test still work normally. Only the symlink-path .claude.json entry needs adjusting to point at your dev checkout.
Remote HTTP deploy
Published as a Docker image for shared deployments (homelab proving ground, loft.rocks rollout, per #124):
piotrzan/agents-mcp-server:<version>
The image bakes in no AGENTS_* defaults — callers (Kubernetes Deployment, docker run -e …) set AGENTS_NATS_URL, AGENTS_TRANSPORT, and AGENTS_HTTP_PORT explicitly. The server fails loud on missing NATS so misconfiguration is caught at boot.
Exposed endpoints:
GET /health→{"status":"ok","version":"<x.y.z>","sessions":<count>}POST /mcp→ Streamable HTTP MCP endpoint (stateful; session id returned inMcp-Session-Idheader)GET /mcp→ server-initiated SSE stream used by Claude Code for live<channel>notification push
Client config for Claude Code:
{
"mcpServers": {
"agents": {
"type": "http",
"url": "http://agents-mcp.<your-host>/mcp"
}
}
}
Configuration reference
| Env | Default | Notes |
|---|---|---|
AGENTS_NATS_URL |
(no default) | Required; server refuses to start if NATS is unreachable |
AGENTS_TRANSPORT |
stdio (code default; no default in the Docker image) |
stdio or http |
AGENTS_HTTP_PORT |
3000 (code default) |
HTTP mode only |
AGENTS_HISTORY_MAX_AGE_MS |
30d |
JetStream stream retention |
AGENTS_HISTORY_MAX_BYTES |
512 MiB |
JetStream stream cap |
AGENTS_HISTORY_MAX_MSGS_PER_SUBJECT |
10000 |
Per-subject cap |
AGENTS_LOG_FILE |
unset | When set, writes a local audit log (stdio installs); unset in the default Docker image |
snd CLI
snd is published by the installer as a bin alongside the server:
snd <agent> <msg...> DM to agent
snd -t <agent> <msg...> DM (explicit)
snd -g <group> <msg...> broadcast to group
snd --human … <msg...> prefix payload with [HUMAN] (wrapper does this for interactive use)
snd --tail subscribe to every DM/broadcast/channel event on the bus (read-only)
Only dependency is AGENTS_NATS_URL. snd talks NATS directly, so it works the same regardless of which MCP transport mode you're on.
Real-time session push
agent_register both joins the conversation and binds the session's identity. From that point on:
- DMs where
to_agent == your namearrive as<channel source="agents" kind="dm" …>tags. - Broadcasts where
group == your grouparrive as<channel source="agents" kind="broadcast" …>tags. - Channel posts arrive as
<channel source="agents" kind="channel" …>tags.
In stdio mode the session is the process; in HTTP mode each connected client holds its own binding and SSE stream. Echo suppression happens at the handler: you never see your own outbound message pushed back at you.
Sessions that haven't called agent_register yet stay send-only; inbound is still captured by the JetStream audit stream and available via channel_history / dm_history / group_history for catch-up reads.
Tools
All tools use name for identification (agents know their names from prompts). Every response includes _meta: { chars, lines, ms } for token awareness.
agent_register
Register as an agent. Returns peers in your group.
{ name: "researcher", description: "Finds information", group?: "default" }
// Returns: { agent_id: "researcher-a1b2c3d4", group: "default", peers: [...] }
agent_id is deterministic — <name>-<sha256(name@host)[:8]> — so it survives process restarts.
agent_deregister
Unregister when done. Idempotent — succeeds even if already gone.
{ name: "researcher" }
agent_broadcast
Send a message to all other agents in a group.
{ name: "researcher", message: "Found the data", priority?: "normal", group?: "all" }
agent_dm
Direct message to a specific agent.
{ name: "researcher", to: "analyst", message: "Check this" }
agent_discover
List active agents (local + remote presence cache).
{ include_stale?: false, group?: "research" }
agent_groups
List groups with agent counts.
{}
channel_send
Post to a channel (async bulletin board — no live nudge; use agent_broadcast / agent_dm for push).
{ name: "researcher", channel: "general", message: "Update complete" }
channel_history
Get channel messages. detailed: true returns full metadata.
{ channel: "general", limit?: 50, detailed?: false }
dm_history
Get DM history between two agents.
{ name: "researcher", with_agent: "analyst", limit?: 50, detailed?: false }
channel_list
List channels with message counts.
{}
group_history
Get recent broadcasts for a group.
{ group: "research", limit?: 50 }
messages_since
Poll for new messages since a given JetStream sequence.
{ since_id?: 0, limit?: 100 }
poll_messages
Poll DMs + broadcasts addressed to a given agent since last check.
{ name: "researcher", since_id?: 0 }
How It Works
One bus, one audit store. Presence, DMs, broadcasts, and channel posts all flow through NATS on AGENTS_NATS_URL. A single JetStream stream (agents-history) captures every DM/channel/broadcast subject for history reads.
State
- Agent registry — in-memory
Mapof local agents; remote peers served from the NATS presence cache (10s beat, 30s TTL). No on-disk state, no DuckDB. - Message history — JetStream stream
agents-historywith subject filteragents.dm.>,agents.channel.>,agents.broadcast.>. Retention: 30d / 512 MiB / 10 000 msgs per subject (env-tunable). Every*_historytool opens an ephemeral JetStream consumer with a subject filter, drains up tolimit, deletes the consumer.
NATS subjects
agents.presence— presence beats (not retained in the stream)agents.dm.<base64url(to_agent)>— direct messagesagents.channel.<base64url(channel_name)>— channel postsagents.broadcast.<base64url(group)>— group broadcasts
End-to-end trace (channel post)
bob channel_send("#eng", "hi")
│
└──► NATS publish agents.channel.<b64url(#eng)>
│
┌──────────────┴──────────────┐
▼ ▼
JetStream stream agents-mcp-server sessions
agents-history bound to other agents
│ │
▼ ▼
channel_history reads notifications/claude/channel →
return this seq later <channel source="agents" kind="channel" …>
rendered live in the bound session
Sub-second session push
When Claude Code is launched with --dangerously-load-development-channels server:agents, the same subprocess handles both tool calls and the experimental claude/channel capability — no separate channel binary. Each NATS subscription fan-ins into every bound session whose binding matches the target. Publishers never see their own messages pushed back.
Token Efficiency
Every response includes _meta:
Active agents (2) in group 'default':
- alice (alice-7c3f9a81): active | group: default | host: serval | local
- bob (bob-f600ddba): active | group: default | host: agents-mcp-pod | remote
---
_meta: {"chars":170,"lines":3,"ms":8}
Development
npm install
npm run build
npm test
Docker image:
docker build -t agents-mcp-server:dev .
docker run --rm -e AGENTS_NATS_URL=nats://host.docker.internal:4222 -p 3000:3000 agents-mcp-server:dev
curl http://localhost:3000/health
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.