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Dispatch

БесплатноНе проверен

Local inter-agent messaging for AI coding agents via filesystem relay.

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Описание

Local inter-agent messaging for AI coding agents via filesystem relay.

README

Local inter-agent messaging for AI coding agents via MCP.

Multiple Claude Code sessions (or any MCP-compatible agents) running on the same machine can send messages to each other through a shared filesystem relay. No server process, no ports, no network — just directories and JSON files with atomic writes.

Features

  • Non-destructive messaging — Messages persist until explicitly acknowledged. No more lost messages from crashes or compaction.
  • Threading — Group messages into conversations with thread_id and reply_to.
  • Structured payloads — Attach machine-readable data alongside human-readable messages.
  • TTL & must_read — Time-sensitive messages auto-expire. Critical messages survive until acknowledged.
  • Delivery receiptspeek() shows read/unread state of messages you've sent.
  • Config-driven — TOML config for agent rosters, directories, and limits. Or go dynamic with no roster.
  • Zero infrastructure — Filesystem relay survives process crashes. No daemon to manage.

Quick Start

1. Install

Requires Python 3.11+ and uv.

git clone https://github.com/sophia-labs/mcp-dispatch.git
cd mcp-dispatch
uv sync

For real-time stderr alerts when messages arrive (optional):

uv sync --extra watch

2. Configure Claude Code

Add to your ~/.claude.json:

{
  "mcpServers": {
    "dispatch": {
      "type": "stdio",
      "command": "uv",
      "args": ["run", "--directory", "/path/to/mcp-dispatch", "python", "server.py"],
      "env": {
        "MCP_DISPATCH_AGENT_ID": "alice"
      }
    }
  }
}

Each Claude Code window needs a unique MCP_DISPATCH_AGENT_ID.

3. Send messages

From any Claude Code session:

Agent alice: dispatch("Hey bob, I pushed the fix", target="bob")
Agent bob:   peek()  →  sees alice's message
Agent bob:   ack(["msg-abc12345"])  →  message removed

Tools

Tool Description
dispatch(message, target, ...) Send a message to one agent or all
peek(thread_id?, include_read?) Read messages and delivery receipts for sent messages
ack(message_ids) Acknowledge and delete processed messages
who() List connected agents

dispatch

dispatch(
    message="Deployed to staging",
    target="all",           # or a specific agent name
    priority="normal",      # "normal" or "urgent"
    thread_id="deploy-123", # optional: group into conversation
    reply_to="msg-abc",     # optional: reference specific message
    payload={"commit": "abc123", "env": "staging"},  # optional: structured data
    ttl=3600,               # optional: expire after 1 hour
    must_read=True,         # optional: survive TTL, require explicit ack
)

peek

peek()                          # new (unread) messages only
peek(include_read=True)         # all unacknowledged messages
peek(thread_id="deploy-123")    # filter by thread

ack

ack(message_ids=["msg-abc", "msg-def"])  # delete specific messages

Configuration

Create ~/.config/mcp-dispatch/config.toml:

# Agent roster (omit for dynamic registration — any name accepted)
agents = ["alice", "bob", "carol"]

# Message directory (default: ~/.config/mcp-dispatch/messages)
dispatch_dir = "~/.config/mcp-dispatch/messages"

# Maximum message size in bytes (default: 65536)
max_message_bytes = 65536

# Default TTL in seconds (0 = no expiry)
default_ttl = 0

# Custom MCP instructions template (optional)
# Placeholders: {agent_id}, {agent_list}
# instructions = "You are {agent_id}. Available agents: {agent_list}."

Environment Variables

Variable Description
MCP_DISPATCH_AGENT_ID Agent identity (required in dynamic mode)
MCP_DISPATCH_CONFIG Config file path (default: ~/.config/mcp-dispatch/config.toml)
MCP_DISPATCH_DIR Override dispatch directory from config

Dynamic Mode

When no agents roster is configured, any agent name is accepted. Inbox directories are created on demand. This is more flexible but less safe (typos create phantom agents).

How It Works

  • Each agent gets an inbox directory ({dispatch_dir}/{agent_name}/)
  • Messages are JSON files written atomically (tmp + rename)
  • Presence is tracked via PID files in {dispatch_dir}/.presence/
  • Messages have states: pendingread → acknowledged (deleted)
  • Piggyback delivery: pending messages are attached to every tool response
  • TTL cleanup runs lazily on read operations
  • Optional watchdog prints stderr alerts for the human operator

Message Format

{
  "id": "msg-a1b2c3d4",
  "from": "alice",
  "to": "bob",
  "timestamp": "2026-02-17T20:30:00Z",
  "priority": "normal",
  "content": "Deployed to staging",
  "payload": {"commit": "abc123"},
  "thread_id": "deploy-123",
  "reply_to": null,
  "ttl": 3600,
  "must_read": false,
  "state": "pending"
}

License

MIT — see LICENSE.

from github.com/sophia-labs/mcp-dispatch

Установка Dispatch

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/sophia-labs/mcp-dispatch

FAQ

Dispatch MCP бесплатный?

Да, Dispatch MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Dispatch?

Нет, Dispatch работает без API-ключей и переменных окружения.

Dispatch — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Dispatch в Claude Desktop, Claude Code или Cursor?

Открой Dispatch на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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