PearClaw

PearClaw

Provides real-time oversight for Claude Code by connecting it to an OpenClaw agent that reviews, approves, blocks, or modifies actions before they execute.

Category
Visit Server

README

PearClaw 🍐

Give your OpenClaw agent real-time oversight of Claude Code.

Your AI stays in the loop on every significant action, reviews decisions in context, and can block or redirect before code is written. Pair programming where one of the pair actually knows your codebase.

You type a task into Claude Code
         ↓
Claude Code plans an action (write file, run command, etc.)
         ↓
consult_supervisor() — asks your OpenClaw agent
         ↓
OpenClaw reviews in context, responds: approve / block / modify
         ↓
Claude Code proceeds (or stops)
         ↓
notify_supervisor() — agent gets a completion summary

Why

Claude Code is powerful but operates in isolation. It doesn't know:

  • Your codebase conventions that aren't written down
  • That you already have a utility for that in lib/
  • That this migration will break production
  • What you decided two sessions ago

Your OpenClaw agent does. This bridge connects them.


Install

1. Install the MCP server

npm install -g pearclaw

Or run without installing:

npx pearclaw

2. Add to Claude Code

Add to ~/.claude/settings.json:

{
  "mcpServers": {
    "openclaw": {
      "command": "npx",
      "args": ["pearclaw"],
      "env": {
        "OPENCLAW_GATEWAY_URL": "ws://127.0.0.1:18788"
      }
    }
  }
}

Replace the gateway URL with your OpenClaw gateway address. Find it with:

openclaw gateway status

If your gateway uses token auth:

"env": {
  "OPENCLAW_GATEWAY_URL": "ws://127.0.0.1:18788",
  "OPENCLAW_GATEWAY_TOKEN": "your-token-here"
}

3. Add the CLAUDE.md protocol

Copy claude/CLAUDE.md to your project root. This tells Claude Code when and how to use the supervisor tools.

cp node_modules/pearclaw/claude/CLAUDE.md ./CLAUDE.md

Or append it to an existing CLAUDE.md.

4. Install the OpenClaw skill

Copy the supervisor skill to your OpenClaw workspace:

cp -r node_modules/pearclaw/skill ~/.openclaw/workspace/skills/mcp-supervisor

This tells your OpenClaw agent how to handle incoming review requests and write responses.

5. (Optional) Install the PreToolUse hook

For automatic escalation of high-risk actions without relying on Claude Code calling consult_supervisor itself:

cp node_modules/pearclaw/claude/hooks/openclaw-supervisor-hook.js ~/.claude/hooks/

Add to ~/.claude/hooks.json:

{
  "hooks": {
    "PreToolUse": [{
      "matcher": { "tool_name": "Write|Edit|MultiEdit|Bash" },
      "hooks": [{
        "type": "command",
        "command": "node ~/.claude/hooks/openclaw-supervisor-hook.js",
        "timeout": 28000
      }]
    }]
  }
}

Configuration

All config via environment variables or ~/.pearclaw.json.

Variable Default Description
OPENCLAW_GATEWAY_URL ws://127.0.0.1:18788 OpenClaw gateway WebSocket URL
OPENCLAW_GATEWAY_TOKEN Auth token (if required)
OPENCLAW_MCP_SESSION main Agent session to target
OPENCLAW_MCP_INBOX_DIR ~/.openclaw/mcp-inbox Drop-file inbox (fallback)
OPENCLAW_MCP_TIMEOUT 25000 Response timeout (ms)
OPENCLAW_MCP_FAIL_OPEN true Approve when supervisor unreachable

~/.pearclaw.json (optional)

{
  "gatewayUrl": "ws://127.0.0.1:18788",
  "sessionTarget": "main",
  "failOpen": true
}

How the supervisor responds

When Claude Code calls consult_supervisor, your OpenClaw agent receives a structured message and writes a JSON response to a temp file.

Approve:

{ "decision": "approve", "reason": "Looks good." }

Block:

{ "decision": "block", "reason": "We already have this in lib/stripe.js.", "suggestion": "Import from there instead." }

Modify:

{ "decision": "modify", "reason": "Right idea, small change needed.", "suggestion": "Add idempotency check at top." }

See skill/SKILL.md for the full supervisor protocol.


Tools exposed to Claude Code

consult_supervisor

Synchronous review. Claude Code blocks until your agent responds (or timeout).

action:         What you're about to do
context:        Why
files_affected: File paths involved
risk_level:     low | medium | high

notify_supervisor

Fire-and-forget update. No response needed.

event:    task_complete | task_failed | session_end | info
summary:  What happened
details:  Optional structured data

Limitations

  • Response timeout: 25 seconds. If your agent doesn't respond in time, the action is approved (fail-open by default).
  • Requires OpenClaw gateway running locally (or accessible via network).
  • The supervisor can only block/modify — it can't rewrite code directly (yet).

Built by

SideEye Labs — building vertical AI for the real world.

Part of the OpenClaw ecosystem.

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

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.

Official
Featured
TypeScript
Kagi MCP Server

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.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured