发现我们为 developer tools 精心策划的 MCP 服务器集合。浏览 20555 个服务器,找到满足您需求的完美 MCP。
Proxies communication between a local MCP environment and a central Resource Hub for configuration and management.
Facilitates interaction with SingleStore databases, enabling querying, schema exploration, and ER diagram generation.
Manages TODO.md and CHANGELOG.md files using the Model Context Protocol.
Enables Claude AI to interact directly with MySQL databases.
Serves files from a folder, designed for development as a simple file server.
Executes code securely within isolated Docker containers for AI assistants using the Model Context Protocol.
Provides translation capabilities using the DeepL API as a Model Context Protocol (MCP) server.
Enables large language models to interact with Databricks clusters, jobs, notebooks, and SQL functionalities through the Model Completion Protocol.
Serves MongoDB-compatible database functionality by generating data statistically using DataFlood ML models, enabling natural language interactions for large language models.
Enables AI models to analyze, download, and compare WordPress.org plugins with local plugin versions.
Integrates Large Language Models (LLMs) with the Taiga project management platform via the Model Context Protocol for AI-powered automation.
Enables AI assistants to dynamically generate technology-specific prompts and comprehensive templates for PRD, codebase, and bug analysis.
Manages structured memory across chat sessions for project-based AI assistant work.
Manages the Transmission torrent client through a Python API and an MCP server.
Connects AI assistants to Home Assistant, enabling comprehensive smart home control and automation management through a Model Context Protocol (MCP) server.
Establishes a universal microservices foundation with storage-agnostic APIs, supporting relational, document, cloud, and embedded database engines.
Govern, secure, and audit AI agent credentials using a passport/visa model across various platforms and frameworks.
Offers a multi-language debugger with a real-time web UI and AI-driven analysis via LLM integration through MCP.
Empower AI to visually verify and refine frontend code against designs, ensuring pixel-perfect implementation through an automated, iterative feedback loop.
Enables AI agents and MCP-compatible clients to programmatically edit video files with structured tools.
Scroll for more results...