Learning & Documentation Servidores MCP
Descubre nuestra colección curada de servidores MCP para learning & documentation. Explora 910 servidores y encuentra los MCP perfectos para tus necesidades.
Unix Manual
Provides Unix command documentation directly within LLM conversations.
Astro Docs
Provides AI agents with access to Astro documentation for assisting users with Astro-related tasks.
ProjectDocHelper
Automatically generates project documentation and serves it via MCP to improve AI development tool accuracy.
Basic
Provides a basic Model Context Protocol (MCP) server that fetches weather information for educational purposes.
Memory Bank
Streamlines software development projects by providing structured workflow tools across various complexity levels and phases.
Notion
Connects and manages Notion content through large language models like Claude.
JBang Examples
Demonstrates how to interact with Language Model (LLM) from MCP Servers using JBang, Quarkus, and Langchain4j.
TextEdit
Enables Claude Desktop to create perfectly formatted RTF documents using Apple's native TextEdit APIs.
Poke
Provides detailed Pokémon information, including stats, abilities, moves, and evolution chains, by integrating with the PokeAPI.
Perplexity
Enhances Claude's web search capabilities using Perplexity's API, offering intelligent model selection, domain filtering, and recency control.
Cortex Cloud Docs
Enables AI models to search and retrieve information from Cortex Cloud documentation and API references.
MCP Hub
Provides documentation and configuration for an HTTP-based server facilitating search and discovery of Model Context Protocols.
Learning Ai
Provides a Next.js project bootstrapped with create-next-app to assist in learning AI concepts.
Azure Java SDK Assist
Provides readme and code samples for the Azure Java SDK to AI assistants via the Model Context Protocol.
Re-Stack
Integrates Stack Overflow into LLM-based coding workflows by providing real-time access to solutions and encouraging knowledge contribution.
Ice Cream Topping Recommender
Demonstrates building interactive Model Context Protocol (MCP) tools with elicitation capabilities.
Markdownlint
Lints, formats, and ensures compliance of Markdown files for AI assistants using Model Context Protocol.
Rag Based
Enables document question answering by ingesting and querying PDF documents using the GroundX API.
Ones Wiki
Retrieves content from a ONES Wiki and converts it into an AI-friendly text format.
Get Terminal Logs
Provides instructions on how to set up terminal logs, with video tutorials.
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