LobsterMCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@LobsterMCP how do I configure the primary model?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Related MCP server: Swarms MCP Documentation Server
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.jsOption 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 URLsTopics
Topic ID | Entries | Covers |
| 5 | Primary model, fallbacks, allowlists, aliases, |
| 18 | Anthropic, OpenAI, OpenRouter, Ollama, GLM, GitHub Copilot, and more |
| 5 |
|
| 21 | Running the gateway, remote access, pairing, protocol, multiple gateways, ACP bridge |
| 20 | Agent runtime, workspaces, |
| 6 | Session keys, compaction, pruning, session store |
| 16 | exec, browser, web search, agent-send, slash commands, llm-task, subagents |
| 10 | Creating skills ( |
| 23 | Telegram, Discord, Slack, WhatsApp, Matrix, Signal, iMessage, and more |
| 23 | Installation, onboarding wizard, Docker, updating, platform guides |
| 23 | Memory, system prompts, context, streaming, queue, retry, usage tracking |
| 11 | Sandboxing, elevated tools, exec approvals, tool policies |
| 13 |
|
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 workspacesArchitecture
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 sourceUpdating 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 buildDevelopment
npm install # Install dependencies
npm run build # Compile TypeScript
npm run dev # Watch mode
npm start # Run serverRequirements
Node.js 18+
Any MCP-compatible client (Claude Code, Claude Desktop, etc.)
License
MIT — © Osama
Available Tools
2 toolsquery-config-docsA
Get detailed OpenClaw documentation and code examples. Use resolve-topic first to find the right topicId, or search directly with a query.
Inputs: query (required), limit, topicId.
resolve-topicA
Find OpenClaw documentation topics matching your query. Returns topic IDs to use with query-config-docs. Topics include: models, providers, configuration, gateway, agents, sessions, tools, skills-plugins, channels, install, concepts, security-sandbox, and debugging.
Inputs: query (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: resolve-topic finds topic IDs, and query-config-docs retrieves detailed documentation. Though query-config-docs can also search directly, the workflow is still unambiguous and each tool's role is well-defined.
Both tool names follow the same verb-noun pattern using hyphens: resolve-topic and query-config-docs. This is consistent and readable, with a clear action-then-object structure.
With only two tools, the server feels minimal but not unreasonable for a focused documentation lookup scope. It sits at the thin end of the scale, barely maintaining a meaningful surface.
The tools cover topic discovery and content retrieval, but there is no way to list all available topics or navigate documentation structure beyond keyword matching. The direct search capability mitigates the gap, but some exploration workflows remain unsupported.
Maintenance
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