发现我们为 learning & documentation 精心策划的 MCP 服务器集合。浏览 1223 个服务器,找到满足您需求的完美 MCP。
Automates the generation of client-side code and provides documentation search for the AIApp BaaS authentication system.
Analyzes code and generates documentation for projects.
Summarizes AI chat conversations and organizes them into structured markdown files for IDE users.
Delivers adaptive learning experiences through AI-powered personalization within a comprehensive educational platform.
Provides a foundational example for integrating custom tools with the Gemini CLI using the Model Context Protocol (MCP).
Offers a robust Model Context Protocol (MCP) server providing comprehensive development support for kintone customizations.
Generates structured reading summaries by searching and extracting content from educational articles on todamateria.com.br.
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.
Provides a Model Context Protocol (MCP) server that enables comprehensive interaction with the Moodle Learning Management System (LMS) Web Services API.
Retrieves records and details of individuals recognized for their contributions to Korean independence from the National Veterans Affairs Electronic Archives.
Accesses Zilliqa blockchain documentation, API examples, address conversion tools, faucet integration, and real-time network statistics through a comprehensive Model Context Protocol (MCP) server.
Serves markdown files in a structured manner through an API, acting as a knowledge base for Large Language Models (LLMs).
Demonstrates potential security attack vectors against Model Control Protocol (MCP) architectures.
Manages TODO items with status tracking via a simple REST API.
Enhances Large Language Models with a real-time, graph-based lexical tool for high-precision morphosyntactic and functional grammar analysis of Ancient Greek texts.
Integrates with the NASA API to provide users with space-related information and imagery.
Enables local middleware for seamless communication between LLM-based tools on Windows OS.
Enables direct file system access and management for Obsidian vaults through Model Context Protocol (MCP).
Offers a Go library for implementing post-quantum cryptographic algorithms such as ML-DSA for digital signatures and ML-KEM for key encapsulation.
Demonstrates building a Model Context Protocol (MCP) server in Python to expose custom tools and resources to large language models (LLMs) and MCP clients.
Scroll for more results...