What breaks without openclaw mcp integration
LLM-backed agents with no tool access. Custom API wrappers built per integration. No standardized tool-use interface in OpenClaw.
→
LLM agents with real tool access × MCP standard protocol ÷ 30-minute install ÷ no custom API adapter per tool = one integration, every MCP-compatible tool.
Security check — openclaw mcp integration
Privacy score: 7/10 — accesses connected platform APIs only.
Lock it: review OAuth scopes before install, confirm Linux, macOS; OpenClaw ≥1.3; requires MCP-compatible LLM client compatibility.
Quick start — openclaw mcp integration in 30–60 minutes
Setup time: 30–60 minutes
!
You need:
- OpenClaw core
- MCP-compatible LLM (Claude API or local model with MCP support)
- Node.js ≥18
Install the package:
npm install @freema/openclaw-mcp
2
Choose which MCP servers to expose to your agent (filesystem, browser, database, etc.)
3
Configure MCP servers in openclaw.config.js
4
Add the plugin to the plugins array
6
Use ctx.llm.chat() with tools enabled — the plugin bridges MCP tools into the LLM context
Compatibility & status
Works with: Linux, macOS; OpenClaw ≥1.3; requires MCP-compatible LLM client
advanced
Last updated: Nov 2025
★ 450 on GitHub
MIT
Official docs →
View on GitHub →
FAQ — openclaw mcp integration
Which LLMs work with this plugin?
Any LLM with MCP or tool-use support. Claude (via Anthropic API) and OpenAI-compatible APIs with function calling are the primary targets.
Can I write my own MCP servers for this plugin?
Yes. MCP servers are language-agnostic — write one in Python, Node, or any language that supports stdio or HTTP transport.
Is this the same as the official Anthropic MCP?
This plugin is a community integration. It implements the MCP client protocol to connect to any MCP-compatible servers.
LLM agents without tool access answer questions but never take actions.
Every time your bot says 'I can't do that,' it's admitting an integration gap MCP would close.
Get it on GitHub →