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.
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.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。