Discover our curated collection of MCP servers for learning & documentation. Browse 2141 servers and find the perfect MCPs for your needs.
Provides a playground environment for experimenting with and extending a TypeScript-based server.
Provides Metal Framework documentation search and code generation capabilities via the MCP protocol.
Answers computer science questions, summarizes research papers, and visualizes concepts by leveraging the arXiv dataset.
Offers a Go library for implementing post-quantum cryptographic algorithms such as ML-DSA for digital signatures and ML-KEM for key encapsulation.
Retrieves comprehensive documentation for Shoplazza LessJS components for use within Cursor's Model Context Protocol.
Exposes Backbone.js Markdown chapters as readable resources and provides a full-text search tool.
Demonstrates Model Context Protocol (MCP) server implementation using the C# SDK, with additional examples for resources and prompts.
Demonstrates basic Model Context Protocol (MCP) functionality, including tool calls and resource access with robust Zod validation, for learning how to build AI model interactions.
Automates the generation of typed React hooks and comprehensive documentation for Next.js projects, enhancing developer workflow with AI, CI/CD, and type safety.
Find battle-tested solutions to coding problems from across the programming community, bypassing generic documentation and AI hallucinations.
Demonstrates setting up a basic Model Context Protocol server with custom tools for integration with Claude Desktop.
Assists qualitative researchers and conceptual paper authors with AI-powered methodologies, coding guides, and publication strategies.
Indexes Rust crate documentation and project metadata to provide full-text search and diagnostics for AI coding tools.
Safely manages and automates changelog entries, versioning, and backups for AI-assisted development workflows.
Transforms AI conversations into clean, well-formatted ebooks for offline reading and easy sharing.
Generates physics-aware inline skating trick combinations, modeling moves as state transitions to ensure executable and naturally flowing sequences.
Provides a local-first hybrid search engine for personal knowledge bases and agentic workflows, combining BM25, vector search, and LLM re-ranking.
Provides AI coding agents with a persistent, encrypted memory to read and write knowledge across any compatible tool.
Exposes Ed Discussion's full API to AI clients for enhanced interaction and automation.
Offers a Model Context Protocol (MCP) server for accessing VTK class documentation, retrieving Python API details, and performing semantic searches.
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