OpenClaw Integration
📇 ☁️ 🏠 - MCP server for OpenClaw AI assistant integration. Ena
What is OpenClaw Integration?
OpenClaw Integration is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 📇 ☁️ 🏠 - mcp server for openclaw ai assistant integration. ena
📇 ☁️ 🏠 - MCP server for OpenClaw AI assistant integration. Ena
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP protocol support
Use Cases
Maintainer
Works with
Installation
NPM
npx -y openclaw-mcpManual Installation
npx -y openclaw-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use OpenClaw Integration
OpenClaw MCP Server bridges Claude and other MCP clients to a running OpenClaw AI assistant gateway, letting you send messages, queue background tasks, and monitor multi-instance deployments from a single interface. It supports both synchronous chat and asynchronous task queuing, making it suitable for long-running or high-volume AI workflows. Developers use it to integrate OpenClaw's inference capabilities directly into their AI toolchain via the standardised MCP protocol over stdio or HTTP transport.
Prerequisites
- Node.js 20 or higher installed
- A running OpenClaw gateway with HTTP API enabled (note the gateway URL and port, e.g. http://127.0.0.1:18789)
- An OpenClaw gateway authentication token (OPENCLAW_GATEWAY_TOKEN)
- An MCP client such as Claude Desktop, Claude Code, or any MCP-compatible host
- For remote/Claude.ai deployments: a public HTTPS URL and optional OAuth 2.1 credentials
Install the OpenClaw MCP package
Install the server globally via npm or run it on-demand with npx. The npx approach requires no global install and always uses the latest version.
npx -y openclaw-mcpStart your OpenClaw gateway
The MCP server is a connector — it requires a running OpenClaw gateway. Start your OpenClaw instance and confirm the HTTP API is enabled and accessible at the configured port before configuring the MCP server.
Configure environment variables
Set the gateway URL, authentication token, and model name. These can be placed in your shell profile or directly in the MCP client configuration.
export OPENCLAW_URL=http://127.0.0.1:18789
export OPENCLAW_GATEWAY_TOKEN=your_gateway_token_here
export OPENCLAW_MODEL=openclawAdd to your MCP client configuration
Add the server to your Claude Desktop or Claude Code config. Use stdio transport for local use, or HTTP transport for remote/Claude.ai integration.
{
"mcpServers": {
"openclaw": {
"command": "npx",
"args": ["-y", "openclaw-mcp"],
"env": {
"OPENCLAW_URL": "http://127.0.0.1:18789",
"OPENCLAW_GATEWAY_TOKEN": "your_gateway_token_here",
"OPENCLAW_MODEL": "openclaw"
}
}
}
}Verify the connection
In your MCP client, ask it to check the OpenClaw gateway status. The openclaw_status tool will confirm connectivity and report instance health.
(Optional) Enable HTTP transport for Claude.ai
For remote deployments or integration with Claude.ai, start the server with HTTP transport. The connector URL must end with /mcp when used with Claude.ai.
npx openclaw-mcp --transport http --port 3000OpenClaw Integration Examples
Client configuration (stdio, local)
Standard Claude Desktop configuration for local OpenClaw gateway access.
{
"mcpServers": {
"openclaw": {
"command": "npx",
"args": ["-y", "openclaw-mcp"],
"env": {
"OPENCLAW_URL": "http://127.0.0.1:18789",
"OPENCLAW_GATEWAY_TOKEN": "your_gateway_token_here",
"OPENCLAW_MODEL": "openclaw"
}
}
}
}Prompts to try
Example prompts that exercise the available OpenClaw tools.
- "Check the OpenClaw gateway status and tell me if it's healthy."
- "Send a message to OpenClaw: summarize the latest deployment logs."
- "Queue an async task to process the report and check back on its status."
- "List all running OpenClaw instances and their current load."
- "Cancel the pending task with ID abc123."Troubleshooting OpenClaw Integration
Connection refused or 'gateway unreachable' error
Confirm the OpenClaw gateway is running and that OPENCLAW_URL matches the actual host/port. Check firewall rules if running remotely.
Authentication failures in Claude.ai remote deployment
Set MCP_ISSUER_URL to your public HTTPS URL and set TRUST_PROXY=1. The connector URL registered in Claude.ai must end with /mcp.
npx command not found or old version cached
Ensure Node.js 20+ is installed with 'node --version'. Clear the npx cache with 'npx clear-npx-cache' and retry.
Frequently Asked Questions about OpenClaw Integration
What is OpenClaw Integration?
OpenClaw Integration is a Model Context Protocol (MCP) server that 📇 ☁️ 🏠 - mcp server for openclaw ai assistant integration. ena It connects AI assistants to external tools and data sources through a standardized interface.
How do I install OpenClaw Integration?
Install via npm with the command: npx -y openclaw-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with OpenClaw Integration?
OpenClaw Integration works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is OpenClaw Integration free to use?
Yes, OpenClaw Integration is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up OpenClaw Integration in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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