发现我们为 developer tools 精心策划的 MCP 服务器集合。浏览 19303 个服务器,找到满足您需求的完美 MCP。
Provides access to You Need A Budget (YNAB) functionality through the Model Context Protocol.
Brings GitHub repositories into context for large language models via an API.
Enables AI assistants to access and utilize code quality metrics and analysis results from DeepSource.
Implements a minimal todo application as a Model Context Protocol (MCP) server.
Automates penetration testing workflows by integrating various security tools with LLM clients.
Enables secure Solana blockchain wallet operations through a Model Context Protocol interface.
Adds state-of-the-art statistical verification to LLM pipelines, providing a robust AI second opinion.
Manages and connects to multiple Model Context Protocol (MCP) servers through a unified HTTP API.
Generates dynamic, structured UI templates from natural language requests using Large Language Models and an MCP server.
Analyzes web page design structures and extracts detailed information about layout, navigation, content, forms, and other elements.
Facilitates the creation and editing of Marp presentations using AI integration and the Model Context Protocol (MCP).
Empowers AI applications with Retrieval-Augmented Generation (RAG) capabilities by leveraging Google's Gemini API File Search for knowledge base creation and information retrieval from uploaded documents.
Interacts with the Memos API service through a command-line interface, adhering to Model Context Protocol standards.
Integrates Grok AI models with Model Context Protocol clients like Claude Code, Cline, and Cursor by wrapping the official Grok CLI.
Automates the entire documentation lifecycle, from change detection and link validation to quality assessment and synchronization, for software projects.
Facilitates natural language interaction and comprehensive management of PostgreSQL databases via an MCP-compatible client.
Extends Claude Code with persistent memory, deep code intelligence, and expert consultation for enhanced development workflows.
Provides persistent memory and project context to enhance AI coding agents' efficiency across development sessions.
Provides trace logging, quality evaluation, and cost tracking for AI agents leveraging the Model Context Protocol.
Integrates TaskChute Cloud 2 with AI agents by providing an MCP server for direct task interaction.
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