Discover our curated collection of MCP servers for learning & documentation. Browse 1223servers and find the perfect MCPs for your needs.
Provides a foundational guide to constructing a functional MCP server and client.
Centralizes documentation, examples, and search tools to enhance development with InterSystems IRIS ObjectScript.
Provides AI assistants with contextual, version-specific documentation for Python project dependencies, eliminating manual package lookup and enhancing coding assistance.
Provides current and accurate commands for Python package managers by cross-referencing the latest official documentation.
Imports Supernotes exports into Obsidian daily notes using the Model Context Protocol (MCP).
Enables AI to control Obsidian notes through a local REST API and automate Git synchronization.
Accesses, searches, and provides recommendations for AWS documentation content.
Provides instant access to the complete Spring Boot documentation and the entire Spring ecosystem through the Model Context Protocol.
Provides comprehensive access to Rust crate documentation and metadata from crates.io and docs.rs.
Provides PyTorch AI/ML examples for Modal Context Protocol (MCP), Agent-to-Agent (A2A), RAG, and vLLM workflows, enabling reproducible and scalable pipelines for research and deployment.
Integrates Perplexity AI's Sonar models into AI coding assistants like Claude Code, offering specialized tools for fact-checking and comprehensive research.
Develops an MCP client to interact with tools, resources, and prompts exposed by an MCP server using the FastMCP framework.
Provides an unofficial local server to access documentation from Dash docsets for AI assistants.
Provides AI assistants with access to shadcn/ui component documentation, examples, and API details via the Model Context Protocol (MCP).
Presents learning notes and conversations from software development sessions with Claude.
Augment AI responses with relevant context by retrieving and processing documentation through vector search.
Provides a robust server for managing Markdown documents, offering CRUD operations, search, and metadata control, primarily designed for AI IDE integration.
Integrates BlackArch Linux security tools into a comprehensive server for educational penetration testing using the Model Context Protocol.
Automates project analysis and generates comprehensive development specifications, powered by AI integration.
Enables semantic search over internal documentation using a local server with Retrieval-Augmented Generation (RAG).
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