发现我们为 learning & documentation 精心策划的 MCP 服务器集合。浏览 1660 个服务器,找到满足您需求的完美 MCP。
Provides comprehensive Cantonese dictionary lookup and linguistic analysis functionality via an MCP server.
Enhances the Kafka Docker Playground CLI experience by providing intelligent command completion, validation, and contextual assistance through GitHub Copilot.
Provides AI agents with real-time access to Wikipedia for research and information retrieval.
Provides a production-ready FastMCP reference server, bundled with hackathon resources and reusable starter prompts for Cursor integration.
Provides AI tool capabilities for searching and fetching content from the Adobe Experience League documentation site.
Provides real-time access to LangChain documentation, API references, and code examples through dual server modes.
Leverages Retrieval-Augmented Generation (RAG) to provide a powerful question-answering system for documents and code, featuring Google AI integration and multiple API interfaces.
Indexes and semantically searches Markdown documents using vector embeddings and a self-contained vector database.
Provides a comprehensive guide for verifying Model Context Protocol (MCP) server installation on Windows.
Provides a playground environment for experimenting with and extending a TypeScript-based server.
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.
Answers computer science questions, summarizes research papers, and visualizes concepts by leveraging the arXiv dataset.
Exposes Backbone.js Markdown chapters as readable resources and provides a full-text search tool.
Demonstrates how to build Model Context Protocol (MCP) servers using the Python SDK.
Assists qualitative researchers and conceptual paper authors with AI-powered methodologies, coding guides, and publication strategies.
Demonstrates and tests various mechanisms of the Model Context Protocol (MCP) using its TypeScript SDK.
Analyzes code and provides debugging capabilities using the Perplexity AI API within the Claude desktop client.
Transforms Markdown content into professionally styled PDF documents with support for syntax highlighting, custom CSS, Mermaid diagrams, and optional page numbers and watermarks.
Provides professional C++ coding style checks and best practice suggestions.
Automates screenshot capture and user manual generation for web applications using configurable workflows.
Scroll for more results...