Learning & Documentation MCP 服务器

Azure Java SDK Assist

Provides readme and code samples for the Azure Java SDK to AI assistants via the Model Context Protocol.

Apple Docs

Serves formatted Apple Developer Documentation via the Model Context Protocol.

Git Spice Help

Provides real-time search and integration of git-spice documentation within Cursor IDE using the Model Context Protocol.

Tambo Docs

Serves Tambo documentation via a Model Context Protocol (MCP) server, enabling seamless integration with AI-powered development environments.

Markdown

Extracts clean markdown content from web pages using Playwright, intelligently filtering out non-content elements.

Notifly

Provides semantic search across Notifly documentation and SDKs to streamline integration processes for developers.

Kali Penetration Test

Integrates Kali Linux security tools with AI assistants for ethical penetration testing in a controlled Docker environment.

Cardano

Streamlines Cardano blockchain integration by providing access to documentation, tools, and best practices for application developers.

CityJSON

Provides AI assistants with structured access to the CityJSON specification, allowing them to fetch specific chapters on demand.

Faulkner DB

Captures, queries, and analyzes architectural decisions, implementation patterns, and failures over time using a temporal knowledge graph system integrated with Claude Code/Desktop.

Kanji Alive

Provides access to the Kanji Alive API through a Model Context Protocol (MCP) server, enabling AI models to search and retrieve detailed information about Japanese kanji.

OpenAPI

Provides comprehensive OpenAPI specification linting and documentation rendering capabilities.

ArXiv Humanity

Empowers AI assistants to deeply read, analyze, and synthesize scientific breakthroughs from ArXiv in real-time.

Product Management Knowledge

Leverages your book library to provide expert product management knowledge, generate artifacts, and apply frameworks.

Systemprompt

Implements a production-ready Model Context Protocol (MCP) server demonstrating the complete MCP specification including OAuth 2.1, sampling, elicitation, structured data validation, and real-time notifications.

AgenticAI

Facilitates experimentation with LangChain, LLM-powered agents, and autonomous AI workflows through practical implementations and prototypes.

LLM Tools

Accelerates LLM agent workflows by providing high-performance Go tools and native MCP servers for optimized file operations, search, and context management.

Python Template

Provides a DevOps-friendly template for building MCP servers, integrating CI/CD, Docker, and Documentation-as-Code.

POML

Enhances and structures prompts using POML best practices for more reliable AI agent workflows.

Extended Example

Offers a foundational example for developing server-side applications with MCP.