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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

A server that provides AI agents with full OpenClaw documentation via BM25 search, enabling them to look up configurations, providers, and other topics without web lookups.

README.md

LobsterMCP

OpenClaw documentation, queryable by AI agents — so Claude Code stops guessing and starts knowing.

Author: Osama · License: MIT · Unofficial community tool, not affiliated with or endorsed by OpenClaw.

---

What is this?

OpenClaw is an AI agent platform for connecting LLMs to messaging channels, tools, and services. When Claude Code (or any AI agent) works on an OpenClaw project, it needs to look things up constantly: How do I configure a model? What's the JSON5 syntax for provider auth? How do I set up multi-agent routing?

LobsterMCP is an MCP server that puts the full OpenClaw documentation directly in front of your agent — 194 entries across 13 topics, indexed with BM25 search. No web lookups, no hallucinations, no asking the user to go find the docs.

---

Installation

Option 1 — Claude Code (local build)

git clone https://github.com/osamac2128/lobstermcp
cd lobstermcp
npm install && npm run build
claude mcp add lobster-mcp -s user -- node /absolute/path/to/lobstermcp/dist/index.js

Option 2 — Claude Code settings.json

{
  "mcpServers": {
    "lobster-mcp": {
      "command": "node",
      "args": ["/absolute/path/to/lobstermcp/dist/index.js"]
    }
  }
}

---

Tools

resolve-topic

Finds the right documentation topic for your query. Call this first.

Input:  { query: "models" }

Output: {
  topics: [{
    topicId: "models",
    name: "Models & Model Selection",
    description: "Configuring primary models, fallbacks, allowlists...",
    entryCount: 5,
    confidence: 1.0,
    relatedTopics: ["providers", "configuration", "agents"]
  }]
}

query-config-docs

Returns full documentation and code examples for your query.

Input:  { query: "set primary model anthropic", topicId: "models" }

Output: Markdown with full docs, config snippets, CLI examples, and source URLs

---

Topics

| Topic ID | Entries | Covers | |----------|---------|--------| | models | 5 | Primary model, fallbacks, allowlists, aliases, /model command | | providers | 18 | Anthropic, OpenAI, OpenRouter, Ollama, GLM, GitHub Copilot, and more | | configuration | 5 | openclaw.json config file, JSON5 format, all config keys, config.patch/config.apply | | gateway | 21 | Running the gateway, remote access, pairing, protocol, multiple gateways, ACP bridge | | agents | 20 | Agent runtime, workspaces, AGENTS.md/SOUL.md/TOOLS.md, multi-agent routing | | sessions | 6 | Session keys, compaction, pruning, session store | | tools | 16 | exec, browser, web search, agent-send, slash commands, llm-task, subagents | | skills-plugins | 10 | Creating skills (SKILL.md format), plugin manifest, ClawdHub registry | | channels | 23 | Telegram, Discord, Slack, WhatsApp, Matrix, Signal, iMessage, and more | | install | 23 | Installation, onboarding wizard, Docker, updating, platform guides | | concepts | 23 | Memory, system prompts, context, streaming, queue, retry, usage tracking | | security-sandbox | 11 | Sandboxing, elevated tools, exec approvals, tool policies | | debugging | 13 | openclaw doctor, logs, health checks, FAQ, common issues |

13 topics · 194 documentation entries

---

Example queries

resolve-topic: "how to configure a model"
→ topicId: "models"

query-config-docs: "set primary model anthropic claude", topicId: "models"
→ Full docs on agents.defaults.model.primary, fallbacks, allowlist config

resolve-topic: "anthropic api key"
→ topicId: "providers"

query-config-docs: "anthropic setup-token auth", topicId: "providers"
→ Full docs on setup-token vs API key, onboarding wizard, config snippet

resolve-topic: "run gateway background"
→ topicId: "gateway"

query-config-docs: "multi-agent routing bindings", topicId: "agents"
→ Full docs on agents.list, bindings, agentId, isolated workspaces

---

Architecture

  • Search — BM25 in-memory search with Porter stemmer and field boosting (title 3×, tags 2×, description 1.5×)
  • Storage — Static JSON files loaded at startup, zero runtime dependencies
  • Transport — MCP stdio transport (works with any MCP-compatible client)
  • Content — Sourced from official OpenClaw documentation
lobstermcp/
├── src/
│   ├── index.ts              # MCP server entry point
│   ├── tools/
│   │   ├── resolve-topic.ts  # Topic resolution tool
│   │   └── query-docs.ts     # Doc search tool
│   ├── search/
│   │   ├── engine.ts         # BM25 search engine
│   │   └── tokenizer.ts      # Porter stemmer tokenizer
│   └── store/
│       ├── index.ts          # DocStore class
│       ├── loader.ts         # Content file loader
│       └── types.ts          # Shared types
├── content/                  # Documentation JSON (13 files + topics.json)
└── scripts/
    └── build-openclaw-content.mjs  # Regenerate content from OpenClaw source

---

Updating the content

Content is generated from the OpenClaw source docs. To regenerate:

# Requires openclaw source at ../openclaw (relative to this repo)
node scripts/build-openclaw-content.mjs
npm run build

---

Development

npm install      # Install dependencies
npm run build    # Compile TypeScript
npm run dev      # Watch mode
npm start        # Run server

---

Requirements

  • Node.js 18+
  • Any MCP-compatible client (Claude Code, Claude Desktop, etc.)

---

License

MIT — © Osama

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