mcp-integration
Use Model Context Protocol servers to access external tools and data sources. Enable AI agents to discover and execute tools from configured MCP servers (legal databases, APIs, database connectors, weather services, etc.).
Why use this skill?
Learn how to use the OpenClaw MCP integration skill to connect your AI agent with external data sources, databases, and APIs using the Model Context Protocol.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/lunarpulse/mcp-adapterWhat This Skill Does
The mcp-integration skill provides a robust bridge between the OpenClaw AI agent and external Model Context Protocol (MCP) servers. By implementing this skill, your agent gains the ability to discover, query, and interact with a vast ecosystem of third-party tools, databases, and services without requiring custom code for every integration. The skill operates via a unified 'mcp' command, offering two primary functions: 'list' for identifying available capabilities and 'call' for executing specific tool logic. Whether you need to query a remote legal database, retrieve real-time weather data, interact with enterprise API endpoints, or search specialized file stores, the MCP integration acts as a universal adapter, parsing JSON-schema-compliant tool definitions and executing them securely within the OpenClaw runtime environment.
Installation
To integrate this functionality into your environment, use the OpenClaw CLI tool as follows:
clawhub install openclaw/skills/skills/lunarpulse/mcp-adapter
Once installed, ensure your MCP server configuration is reachable by the agent host. The adapter will automatically register available tools upon service discovery, making them immediately available for invocation through natural language prompts or workflow automation sequences.
Use Cases
- Legal Research: Interface with legal databases to search statutes, resolve case citations, or retrieve full-text legislation for analysis.
- Data Engineering: Query SQL or NoSQL databases via connected MCP servers to extract business intelligence without manual data exporting.
- API Orchestration: Connect to third-party services like Jira, GitHub, or weather APIs to perform CRUD operations or fetch real-time updates directly into the AI's context.
- Domain-Specific Analysis: Execute specialized algorithms (e.g., sentiment analysis or tax calculations) provided by external research servers.
Example Prompts
- "List all currently available tools from our connected MCP servers so I can see what data we can access."
- "Search the kr-legal server for statutes related to '연장근로 수당' and provide a summary of the first 5 results."
- "Query the internal database server for the latest entries in the audit logs and save the result as a summary report."
Tips & Limitations
Always prioritize the 'list' command before attempting to call tools, as server availability and schema definitions may update dynamically. Pay close attention to 'inputSchema.required' fields to prevent execution errors; valid JSON formatting is non-negotiable for argument passing. Note that while this skill allows broad connectivity, the agent is restricted by the authentication scope granted to the underlying MCP servers. If a server requires OAuth or API tokens, ensure these are configured in your local environment prior to invocation.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-lunarpulse-mcp-adapter": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api