发现我们为 learning & documentation 精心策划的 MCP 服务器集合。浏览 2378 个服务器,找到满足您需求的完美 MCP。
Retrieves Drupal module information from Drupal.org for enhanced development workflows.
Connects AI assistants to arXiv, enabling search, analysis, and download of research papers within AI workflows.
Define, compose, and manage granular contexts for large language models, ensuring consistent and high-quality results across AI-powered development tasks.
Demonstrates how to implement a Model Context Protocol (MCP) server in Python.
Provides a comprehensive RESTful API for bidirectional Mi'kmaq language dictionary lookups and translations.
Provides current and accurate commands for Python package managers by cross-referencing the latest official documentation.
Transforms iRacing telemetry data into actionable racing insights, offering real-time coaching, car spotting, and detailed lap analysis for sim-racing.
Assists AI coding clients like Claude Code and Gemini CLI with accurate Pine Script v6 programming by providing quick access to its reference manual.
Provides seamless access to academic literature databases, enabling researchers to accelerate their literature review process with LLMs and MCP clients.
Provides a specialized Model Context Protocol (MCP) server for efficient searching, reading, and analysis of discussions on the official GitLab community forum.
Enables Claude Desktop to provide interactive text-to-speech functionality for enhanced foreign language learning.
Transforms project documentation and code into a queryable knowledge base for AI coding assistants, enabling persistent memory and systematic enforcement.
Verifies academic references against Crossref, Semantic Scholar, and arXiv to catch hallucinated citations, find real papers, and export corrected BibTeX.
Visualize XML Schema Definition (XSD) files by generating industry-standard SVG diagrams and structured JSON representations.
Provides AI assistants with accurate reference data for World of Warcraft 3.3.5a (WotLK) addon development.
Enhances AEM Edge Delivery Services development within IDEs by providing a suite of specialized tools, resources, and prompt templates for LLM-assisted code generation.
Provides reference implementations for the Model Context Protocol, demonstrating how to enable Large Language Models with secure, controlled access to tools and data sources.
Enables AI assistants to discover, understand, and interact with the Cakemail API.
Provides AI agents with curated nonfiction book recommendations through the Model Context Protocol.
Provides persistent, shared access to developer knowledge for various AI tools across multiple projects.
Scroll for more results...