发现我们为 developer tools 精心策划的 MCP 服务器集合。浏览 12670 个服务器,找到满足您需求的完美 MCP。
Control Sony Bravia TVs through the Model Context Protocol by exposing BraviaRC functionalities as callable tools.
Manages Cherry Studio LevelDB configurations by providing a clean interface for handling Model Context Protocol (MCP) server settings.
Integrate Basecamp workspaces with AI tools like Claude for enhanced interaction and automation.
Generates speech from text using the Microsoft Edge Text-to-Speech engine via the Model Context Protocol.
Facilitates AI-accessible database operations for PostgreSQL and MongoDB, enabling intelligent applications to interact with data safely and efficiently.
Provides AI agents with real-time awareness through a `time_now` tool.
Exposes Podman container management capabilities via the Model Context Protocol, enabling AI tools to interact with containers and images.
Provides a secure server for remote SSH command execution, strictly enforcing read-only operations.
Provides a Retrieval-Augmented Generation (RAG) server for efficient document ingestion, vector storage, and AI-powered question answering.
Automates building Docker images from remote GitHub repositories and publishes them to either the GitHub Container Registry (GHCR) or Docker Hub.
Manages and exposes AI 'skills' in a Claude-like style to other Large Language Models via a robust, extensible backend.
Provides a Python-based example for mathematical computations, leveraging the FastAPI framework.
Enables AI applications to access external tools and data sources through a standardized Model Context Protocol (MCP) server.
Automates everyday tasks through a team of expert AI agents, enhancing productivity and simplifying daily activities.
Provides comprehensive operations for reading, analyzing, searching, transforming, and validating XML files.
Integrates Uptime Kuma monitoring data with large language models to retrieve status and operational insights.
Provides a GraphQL API for querying and manipulating Mission Control Platform (MCP) data.
Streamline coding tasks, understand code, and manage Git workflows directly from your terminal using natural language commands.
Serves context and provides tool access to AI models via the Model Context Protocol, built for speed and extensibility.
Enables language models (LLMs) to access external data, tools, and custom systems via a .NET-based Model Context Protocol (MCP) server.
Scroll for more results...