Discover our curated collection of MCP servers for learning & documentation. Browse 1642servers and find the perfect MCPs for your needs.
Accesses and interacts with your Readwise library via the Model Context Protocol (MCP).
Provides code context from local git repositories via semantic search.
Provides detailed type information from .NET projects to enhance AI coding agent capabilities.
Provides an MCP Server for accessing and searching data related to the JSer.info JavaScript information website.
Connects MCP-compatible clients to Onyx AI knowledge bases, enabling semantic search and chat capabilities.
Augments large language models with OI-Wiki content for enhanced problem-solving in competitive programming and ICPC.
Enables AI models to access and interact with The Metropolitan Museum of Art's collection using natural language.
Enables AI assistants to read from and write to your Obsidian vault through the Model Context Protocol.
Provides insights from an EventCatalog instance directly within an MCP client, such as Claude or Cursor.
Enables Large Language Models (LLMs) to search through AWS Lambda Powertools documentation across multiple runtimes.
Enables AI agents to search for Rust crates and retrieve their documentation from docs.rs.
Enables MCP clients to interact with a local Zotero repository.
Manages and serves programming guidelines and rules to development tools for consistent coding standards.
Enables searching and retrieving content from any MediaWiki-based website using Large Language Models.
Provides access to the DBLP computer science bibliography database for Large Language Models.
Caches and indexes `llms.txt` documentation locally for lightning-fast, line-accurate lookups.
Connects Claude Desktop with Anki flashcards using the Model Context Protocol (MCP).
Demonstrates potential security risks in Model Context Protocol (MCP) implementations, and how to recognize and prevent security issues.
Transforms any documentation website into an AI-accessible knowledge base, making its content searchable and usable by AI assistants.
Enables AI agents to perform knowledge discovery and analysis across an Obsidian vault.
Scroll for more results...