Discover our curated collection of MCP servers for learning & documentation. Browse 1223servers and find the perfect MCPs for your needs.
Enables AI agents to search documentation within HexDocs using the search API.
Connects Large Language Models to trusted documentation for accurate, version-specific responses.
Establishes a structured knowledge base of cryptocurrency whitepapers for AI agents to access, analyze, and learn from.
Facilitates technical marketing content creation, optimization, and product positioning based on Open Strategy Partners' methodologies.
Manages and summarizes Solana documentation notes through a simple MCP server implementation.
Enhances coding workflows by integrating Perplexity AI for intelligent search, documentation retrieval, API discovery, and code modernization assistance.
Integrates PDF viewing and analysis capabilities into VS Code via the Model Context Protocol.
Enables AI assistants to share and utilize a common knowledge base for Retrieval Augmented Generation (RAG).
Provides AI assistants with comprehensive access to pub.dev, enabling search, analysis, and retrieval of Dart and Flutter package information.
Provides local-first, hybrid semantic and keyword search for various document types and Confluence pages through the Model Context Protocol.
Provides AI assistants with direct access to Semantic Scholar's academic database for research and analysis.
Integrate Nowledge Mem with Claude Desktop to effortlessly manage and retrieve personal knowledge during AI conversations.
Searches and fetches scientific papers from arXiv.org based on category and number of results.
Provides AI models with comprehensive access to the Semantic Scholar Academic Graph API for intelligent literature search and analysis.
Integrates comprehensive Modus Web Components documentation directly into AI assistants within your IDE.
Indexes and enables natural language querying of your Obsidian notes through a Retrieval-Augmented Generation (RAG) server.
Provides comprehensive tools to support mathematical optimization using JijModeling and quantum computing tasks with Qiskit.
Visualizes project directory structures as markdown, automatically documenting file contents.
Manages AI tool context centrally to reduce sharing costs and improve development productivity.
Provides personalized Korean Beauty information, skin analysis, and product recommendations through real-time web search and curated knowledge.
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