Learning & Documentation MCP Servers
Discover our curated collection of MCP servers for learning & documentation. Browse 1029servers and find the perfect MCPs for your needs.
Terragrunt Docs
Exposes Terragrunt documentation and GitHub issue information to AI agents and other Model Context Protocol (MCP) clients.
Markdown2Pdf
Converts Markdown documents to PDF files with syntax highlighting and custom styling.
Mcpbook
Transforms any documentation website into an AI-accessible knowledge base, making its content searchable and usable by AI assistants.
PapersWithCode
Interfaces with the PapersWithCode API, enabling AI assistants to find research papers, view code repositories, and extract relevant information.
Neurolora
Analyzes code, collects project files, and generates documentation using the OpenAI API.
MediaWiki
Enables searching and retrieving content from any MediaWiki-based website using Large Language Models.
DocsFetcher
Retrieves package documentation from multiple language ecosystems for use with LLMs.
Swagger/OpenAPI Explorer
Enables Large Language Models to explore and interact with Swagger/OpenAPI specifications.
Canvas
Interfaces with the Canvas Learning Management System API to list courses, manage assignments, retrieve syllabi, and more.
Gemini Docs
Retrieves relevant documentation from a knowledge base using the Gemini API for targeted question answering.
Verified
Provides a curated and verified resource for the Model Control Protocol (MCP) ecosystem.
Ant Design Components
Enables Large Language Models to interact with and understand Ant Design component documentation.
Share
Provides a curated navigation site focused on Model Context Protocol (MCP) resources.
Coding Assistant
Enhances code development by providing intelligent suggestions, documentation integration, and technology detection.
Development With Rust
Provides comprehensive tutorials for mastering Model Context Protocol (MCP) development using Rust.
Second Opinion
Provides AI-powered assistance for coding problems by combining insights from multiple sources.
Wikipedia Access
Provides client applications with the ability to access and retrieve Wikipedia pages.
Kibela
Enables AI assistants to securely search and reference content stored within Kibela.
Confluence Context
Provides prompts for retrieving Confluence page content to be used as context with AI assistants.
Sensei
Provides expert guidance for Dojo and Cairo development on Starknet.
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