claude-peers-mcp

aradotso/trending-skills · updated Jun 2, 2026

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$npx skills add https://github.com/aradotso/trending-skills --skill claude-peers-mcp
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Skill by ara.so — Daily 2026 Skills collection.

skill.md

claude-peers-mcp

Skill by ara.so — Daily 2026 Skills collection.

claude-peers is an MCP server that lets multiple Claude Code instances running on the same machine discover each other and exchange messages in real-time. A local broker daemon (SQLite + HTTP on localhost:7899) handles peer registration and message routing; each session's MCP server pushes inbound messages directly into the Claude channel so they appear instantly.

Installation

1. Clone and install dependencies

git clone https://github.com/louislva/claude-peers-mcp.git ~/claude-peers-mcp
cd ~/claude-peers-mcp
bun install

2. Register as a global MCP server

claude mcp add --scope user --transport stdio claude-peers -- bun ~/claude-peers-mcp/server.ts

Adjust the path if you cloned elsewhere.

3. Launch Claude Code with the channel enabled

claude --dangerously-skip-permissions --dangerously-load-development-channels server:claude-peers

Add a shell alias to avoid typing it every time:

# ~/.bashrc or ~/.zshrc
alias claudepeers='claude --dangerously-load-development-channels server:claude-peers'

The broker daemon starts automatically on first use. No manual daemon management needed.

Requirements

  • Bun runtime
  • Claude Code v2.1.80+
  • claude.ai login (channels require it — API key auth does not work)

Architecture

                    ┌───────────────────────────┐
                    │  broker daemon            │
                    │  localhost:7899 + SQLite  │
                    └──────┬───────────────┬────┘
                           │               │
                      MCP server A    MCP server B
                      (stdio)         (stdio)
                           │               │
                      Claude A         Claude B
  • Each Claude Code session spawns its own server.ts MCP process over stdio
  • MCP servers register with the broker and poll every second
  • Inbound messages are pushed via the claude/channel protocol for instant delivery
  • The broker auto-cleans dead peers and is localhost-only

MCP Tools Reference

Tool Description
list_peers Discover other Claude Code instances; scope: machine, directory, or repo
send_message Send a message to a peer by ID — delivered instantly via channel push
set_summary Set a description of what this instance is working on
check_messages Manually poll for messages (fallback without channel mode)

Example prompts to Claude

List all peers on this machine
Send a message to peer abc123: "what files are you editing right now?"
Set your summary to: "refactoring the authentication module"
Check for any new messages from peers

CLI Usage

Inspect and interact with the broker directly from the terminal:

cd ~/claude-peers-mcp

# Show broker status and all registered peers
bun cli.ts status

# List peers in a table
bun cli.ts peers

# Send a message into a specific Claude session
bun cli.ts send <peer-id> "your message here"

# Stop the broker daemon
bun cli.ts kill-broker

Configuration

Set these environment variables before starting Claude Code:

Variable Default Description
CLAUDE_PEERS_PORT 7899 Port the broker listens on
CLAUDE_PEERS_DB ~/.claude-peers.db Path to the SQLite database
OPENAI_API_KEY Enables auto-summary via gpt-4o-mini on startup
export CLAUDE_PEERS_PORT=7899
export CLAUDE_PEERS_DB=~/.claude-peers.db
export OPENAI_API_KEY=$OPENAI_API_KEY  # optional — enables auto-summary

Auto-Summary Feature

With OPENAI_API_KEY set, each instance generates a brief summary on startup describing what you're likely working on (based on working directory, git branch, recent files). Other peers see this in list_peers output. Without the key, Claude sets its own summary via set_summary.

Common Patterns

Cross-project coordination

Start two sessions in different project directories:

# Terminal 1 — in ~/projects/backend
claudepeers

# Terminal 2 — in ~/projects/frontend
claudepeers

Ask Claude in Terminal 1:

List peers scoped to machine, then ask the peer in the frontend project what API endpoints it needs

Scope-filtered peer discovery

List peers scoped to repo

Shows only instances running in the same git repository — useful when you have worktrees or split terminals on the same codebase.

Scripted message injection via CLI

# Inject a task into a running Claude session from a shell script
PEER_ID=$(bun ~/claude-peers-mcp/cli.ts peers | grep 'backend' | awk '{print $1}')
bun ~/claude-peers-mcp/cli.ts send "$PEER_ID" "run the test suite and report failures"

Polling fallback (no channel mode)

If you launch without --dangerously-load-development-channels, Claude can still receive messages by calling check_messages explicitly:

Check for any new peer messages

Troubleshooting

Broker not starting

# Check if something is already on port 7899
lsof -i :7899

# Kill a stuck broker and restart
bun ~/claude-peers-mcp/cli.ts kill-broker
# Then relaunch Claude Code

Peers not appearing in list_peers

  • Ensure both sessions were started with --dangerously-load-development-channels server:claude-peers
  • Confirm both use the same CLAUDE_PEERS_PORT (default 7899)
  • Run bun cli.ts status to verify the broker sees both registrations

Messages not arriving instantly

  • Channel push requires claude.ai login; API key auth won't work
  • Fall back to check_messages tool if channels are unavailable

Auto-summary not generating

  • Verify OPENAI_API_KEY is exported in the shell where Claude Code was launched: echo $OPENAI_API_KEY
  • The feature uses gpt-4o-mini; confirm your key has access

Database issues

# Reset the database entirely (all peers/messages lost)
rm ~/.claude-peers.db
bun ~/claude-peers-mcp/cli.ts kill-broker

MCP server not found after registration

# Verify registration
claude mcp list

# Re-register if missing
claude mcp add --scope user --transport stdio claude-peers -- bun ~/claude-peers-mcp/server.ts
how to use claude-peers-mcp

How to use claude-peers-mcp on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add claude-peers-mcp
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/aradotso/trending-skills --skill claude-peers-mcp

The skills CLI fetches claude-peers-mcp from GitHub repository aradotso/trending-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/claude-peers-mcp

Reload or restart Cursor to activate claude-peers-mcp. Access the skill through slash commands (e.g., /claude-peers-mcp) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.754 reviews
  • Kabir Flores· Dec 20, 2024

    I recommend claude-peers-mcp for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Tariq Liu· Dec 20, 2024

    claude-peers-mcp has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sakura Menon· Dec 16, 2024

    claude-peers-mcp reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sakura Mehta· Dec 12, 2024

    Useful defaults in claude-peers-mcp — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ama Diallo· Dec 4, 2024

    claude-peers-mcp fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Hiroshi Mehta· Nov 23, 2024

    Registry listing for claude-peers-mcp matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Zara Li· Nov 11, 2024

    Keeps context tight: claude-peers-mcp is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Hiroshi Malhotra· Nov 7, 2024

    We added claude-peers-mcp from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Hiroshi Johnson· Oct 26, 2024

    claude-peers-mcp fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Hiroshi Smith· Oct 14, 2024

    claude-peers-mcp reduced setup friction for our internal harness; good balance of opinion and flexibility.

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