Agent skill · software engineering · aiskillstore
mcp-builder
Comprehensive guide for building Model Context Protocol (MCP) servers with support for tools, resources, prompts, and authentication. Use when: (1) Creating custom MCP servers, (2) Integrating external APIs with Claude, (3) Building tool servers for specialized domains, (4) Creating resource providers for documentation, (5) Implementing authentication and security
Why this skill is useful
Adds executable scripts and detailed patterns for building MCP servers, enabling integration with external APIs and tools that the AI wouldn't generate on its own.
What it needs
Requires python, typescript installed locally. About 6k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
MCP Builder - Model Context Protocol Server Development What is MCP? Model Context Protocol (MCP) is an open standard created by Anthropic that enables AI assistants like Claude to securely connect to external data sources and tools. Think of it as a universal adapter that allows Claude to interact with any system, API, or data source through a standardized interface. Key Benefits: Standardization: One protocol for all integrations Security: Built-in authentication and permission controls Flexibility: Support for tools, resources, and prompts Scalability: Designed for production workloads Modularity: Create reusable MCP servers for different domains Architecture Overview MCP follows a client-server architecture: Components: Client: Claude Desktop, Claude Code, or custom applications Server: Your MCP implementation (Python, TypeScript, etc.) Transport: Communication channel (stdio, HTTP, SSE) Protocol: Standardized message format (JSON-RPC 2.0) For detailed protocol specification, see Protocol Specification Reference. Core Components 1. Tools: Exposing Functions Claude Can Call Tools are the primary way to give Claude new capabilities. Each tool is a function that Claude can invoke with specific arguments. Tool Definition Structure: Key Principles: Clear naming: Use descriptive, action-oriented names (e.g., searchdatabase, not dbquery) Comprehensive descriptions: Explain what the tool does, when to use it, and what it returns Strong schemas: Use JSON Schema to validate inputs and guide Claude Error handling: Return clear error messages when things go wrong For complete schema design patterns and best practices, see Tool Schema Reference. 2. Resources: Providing Data/Documentation Access Resources allow Claude to access files, documentation, or structured data. Unlike tools (which perform actions), resources provide information. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/mcp-builder--36e2f9