Discover our curated collection of MCP servers for learning & documentation. Browse 1169servers and find the perfect MCPs for your needs.
Facilitates direct documentation search for large language models.
Provides AI assistants with programmatic access to the Consumer Rights Wiki, documenting modern consumer exploitation issues.
Enables Large Language Models to connect and interact with REST APIs by exposing data through a Model Context Protocol endpoint.
Provides semantic search capabilities over documentation chunks using embeddings and AI validation, connecting to a web API.
Semantically searches markdown documentation within code repositories, leveraging embeddings for AI-assisted information retrieval.
Provides a Model Context Protocol server for accessing Amazon Leadership Principles and their associated video transcripts.
Offers a comprehensive open-source collection of AI projects, Model Context Protocol (MCP) servers, and extensive learning resources.
Provides a comprehensive guide for verifying Model Context Protocol (MCP) server installation on Windows.
Enhances AI-assisted Optimizely development by providing curated, contextual information to Large Language Models.
Provides real-time information access using Google Gemini's grounding capabilities for MCP-compatible clients.
Manages a simple notes system through a Model Context Protocol server, providing resources, tools, and prompts for note interaction.
Provides foundational example code for building Model Context Protocol (MCP) servers using FastAPI.
Provides a simple notes system for Solana documentation context within the Model Context Protocol.
Demonstrates basic Model Context Protocol server functionality with FastMCP and uv for dependency management.
Provides an environment for exploring the Model Context Protocol.
Provides IDA Pro documentation access via an MCP (Machine Code Processor) server to assist with plugin and script development.
Provides access to Metaplex documentation and repository information through the Model Context Protocol.
Demonstrates how to build Model Context Protocol (MCP) servers using the Python SDK.
Manages text notes through a Model Context Protocol server, offering resources, creation tools, and summarization prompts.
Enables AI models to query and analyze Practera learning data through a GraphQL API.
Scroll for more results...