Agent skill · software engineering · aiskillstore

building-mcp-servers

Guides creation of high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). Covers tool design, authentication, Docker deployment, and evaluation creation. NOT when consuming existing MCP servers (use the server directly).

Why this skill is useful

Adds detailed implementation guides and executable scripts for setting up and deploying MCP servers that are not widely available in public documentation.

What it needs

Requires docker, npm, python installed locally. About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.

What this skill does

MCP Server Development Guide Overview Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks. --- High-Level Workflow Creating a high-quality MCP server involves four main phases: Phase 1: Deep Research and Planning 1.1 Understand Modern MCP Design API Coverage vs. Workflow Tools: Balance comprehensive API endpoint coverage with specialized workflow tools. When uncertain, prioritize comprehensive API coverage. Tool Naming and Discoverability: Use consistent prefixes (e.g., githubcreateissue, githublistrepos) and action-oriented naming. Context Management: Design tools that return focused, relevant data. Support filtering/pagination. Actionable Error Messages: Error messages should guide agents toward solutions with specific suggestions. 1.2 Study MCP Protocol Documentation Start with the sitemap: https://modelcontextprotocol.io/sitemap.xml Fetch pages with .md suffix (e.g., https://modelcontextprotocol.io/specification/draft.md). Key pages: Specification overview, transport mechanisms, tool/resource/prompt definitions. 1.3 Study Framework Documentation Recommended stack: Language: TypeScript (high-quality SDK, good AI code generation) Transport: Streamable HTTP for remote servers, stdio for local servers Load framework documentation: MCP Best Practices - Core guidelines TypeScript Guide - TypeScript patterns Python Guide - Python/FastMCP patterns SDK Documentation: TypeScript: https://raw.githubusercontent.com/modelcontextprotocol/typescript-sdk/main/README.md Python: https://raw.githubusercontent.com/modelcontextprotocol/python-sdk/main/README.md 1.4 Plan Your Implementation Review the service's API documentation. List endpoints to implement, starting with most common operations. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills aiskillstore/building-mcp-servers

View the source on GitHub

Browse the @skills marketplace