MCP Server Building

MCP Server Building is a standalone skill that teaches any OpenClaw agent how to build Model Context Protocol servers from scratch — the custom tool servers that let AI agents interact with any API, database, file system, or service through a standardized interface. Most agents are limited to whatever tools ship out of the box.

This skill removes that ceiling by teaching your agent to build its own tools.Drop this skill into any OpenClaw persona's skills folder and your agent immediately knows how to design MCP server architecture, implement tools and resources, handle authentication and errors, test servers locally, and deploy them for production use.

🔧 Everything Included This skill covers the full MCP server lifecycle — no separate purchases needed:

Server Architecture — designing MCP servers with clean tool definitions, proper input validation, and consistent error handling Tool Implementation — building tools that call APIs, query databases, manage files, and orchestrate multi-step operations Resource Exposure — serving dynamic data to the agent through MCP resources with proper URI patterns Authentication Patterns — OAuth2, API keys, token refresh, and credential management for secure integrations Testing & Deployment — local testing, debugging, and deploying MCP servers for reliable production use

Proven patterns:

Tool design that gives the agent clear capabilities without ambiguous parameters Input validation on every tool call preventing malformed requests from reaching external services Error responses that tell the agent what went wrong and how to recover Authentication flows that handle token refresh without interrupting the agent

What makes this different from reading the MCP docs:

Production patterns — designed for servers that run reliably, not hello-world examples Anti-patterns included — the most common MCP server mistakes that cause confusing agent behavior Tool design philosophy — how to scope tools so the agent uses them correctly without overloading context Real integration examples — patterns for the most common use cases (APIs, databases, file systems, SaaS tools) Agent-native — structured for LLM consumption so your agent can build MCP servers autonomously Error handling that helps the agent — error messages designed for AI consumption, not human debugging

Includes SKILL.md with complete MCP server building documentation covering architecture, implementation, authentication, testing, and deployment patterns. Designed for OpenClaw. Works with any persona that needs custom tool capabilities.