claude-peers
Enables discovery and instant communication between multiple local Claude Code instances running across different projects. It allows agents to list active peers, share work summaries, and send messages through a local broker daemon.
README
claude-peers
Let your Claude Code instances find each other and talk. When you're running 5 sessions across different projects, any Claude can discover the others and send messages that arrive instantly.
Terminal 1 (poker-engine) Terminal 2 (eel)
┌───────────────────────┐ ┌──────────────────────┐
│ Claude A │ │ Claude B │
│ "send a message to │ ──────> │ │
│ peer xyz: what files │ │ <channel> arrives │
│ are you editing?" │ <────── │ instantly, Claude B │
│ │ │ responds │
└───────────────────────┘ └──────────────────────┘
Quick start
1. Install
git clone https://github.com/louislva/claude-peers-mcp.git ~/claude-peers-mcp # or wherever you like
cd ~/claude-peers-mcp
bun install
2. Register the MCP server
This makes claude-peers available in every Claude Code session, from any directory:
claude mcp add --scope user --transport stdio claude-peers -- bun ~/claude-peers-mcp/server.ts
Replace ~/claude-peers-mcp with wherever you cloned it.
3. Run Claude Code with the channel
claude --dangerously-skip-permissions --dangerously-load-development-channels server:claude-peers
That's it. The broker daemon starts automatically the first time.
Tip: Add it to an alias so you don't have to type it every time:
alias claudepeers='claude --dangerously-load-development-channels server:claude-peers'
4. Open a second session and try it
In another terminal, start Claude Code the same way. Then ask either one:
List all peers on this machine
It'll show every running instance with their working directory, git repo, and a summary of what they're doing. Then:
Send a message to peer [id]: "what are you working on?"
The other Claude receives it immediately and responds.
What Claude can do
| Tool | What it does |
|---|---|
list_peers |
Find other Claude Code instances — scoped to machine, directory, or repo |
send_message |
Send a message to another instance by ID (arrives instantly via channel push) |
set_summary |
Describe what you're working on (visible to other peers) |
check_messages |
Manually check for messages (fallback if not using channel mode) |
How it works
A broker daemon runs on localhost:7899 with a SQLite database. Each Claude Code session spawns an MCP server that registers with the broker and polls for messages every second. Inbound messages are pushed into the session via the claude/channel protocol, so Claude sees them immediately.
┌───────────────────────────┐
│ broker daemon │
│ localhost:7899 + SQLite │
└──────┬───────────────┬────┘
│ │
MCP server A MCP server B
(stdio) (stdio)
│ │
Claude A Claude B
The broker auto-launches when the first session starts. It cleans up dead peers automatically. Everything is localhost-only.
Auto-summary
If you set OPENAI_API_KEY in your environment, each instance generates a brief summary on startup using gpt-5.4-nano (costs fractions of a cent). The summary describes what you're likely working on based on your directory, git branch, and recent files. Other instances see this when they call list_peers.
Without the API key, Claude sets its own summary via the set_summary tool.
CLI
You can also inspect and interact from the command line:
cd ~/claude-peers-mcp
bun cli.ts status # broker status + all peers
bun cli.ts peers # list peers
bun cli.ts send <id> <msg> # send a message into a Claude session
bun cli.ts kill-broker # stop the broker
Configuration
| Environment variable | Default | Description |
|---|---|---|
CLAUDE_PEERS_PORT |
7899 |
Broker port |
CLAUDE_PEERS_DB |
~/.claude-peers.db |
SQLite database path |
OPENAI_API_KEY |
— | Enables auto-summary via gpt-5.4-nano |
Requirements
- Bun
- Claude Code v2.1.80+
- claude.ai login (channels require it — API key auth won't work)
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.