Learning & Documentation MCP Servers

Discover our curated collection of MCP servers for learning & documentation. Browse 313 servers and find the perfect MCPs for your needs.

Serves and provides structured access to markdown documentation for NPM packages, Go Modules, or PyPi packages from an MCP server.

Retrieves citation data in BibTeX format from CiteAs and Google Scholar.

Provides tools and resources for working with the tidymodels ecosystem in R.

Provides access to LeetCode problems, user data, and contest information via a GraphQL interface.

Enables Claude and other LLMs to interact with construction documents through advanced RAG and hybrid search.

Provides a streamlined foundation for building Model Context Protocol (MCP) servers in Python.

Provides standardized coding guidelines and best practices for Java, Python, and React development.

Provides access to the DBLP computer science bibliography database for Large Language Models.

Enables AI models to interact with SourceSync.ai's knowledge management platform through a standardized Model Context Protocol (MCP) server.

Analyzes Japanese text morphologically to measure linguistic characteristics and provide feedback for text generation.

Provides client applications with the ability to access and retrieve Wikipedia pages.

Enables AI-powered interaction with Confluence Cloud through a Spring Boot-based Model Context Protocol server.

Brings GitHub repositories into context for large language models via an API.

Provides access to Metaplex documentation and repository information through the Model Context Protocol.

Provides Model Context Protocol (MCP) servers based on the MCP Template for accessing documentation.

Conducts in-depth research on complex topics using iterative search and structured analysis.

Provides instructions on how to set up terminal logs, with video tutorials.

Manages and retrieves OpenAPI documentation for inspecting and interacting with APIs.

Provides access to Google Classroom data through Claude and other AI assistants that support the MCP protocol.

Connects AI systems to Atlassian Confluence knowledge bases by providing tools for accessing and searching Confluence spaces, pages, and content.

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