api development向けの厳選されたMCPサーバーコレクションをご覧ください。9845個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Manages Git operations on local repositories through an MCP server.
Enables calling iFlytek workflows through Model Context Protocol (MCP) tools.
Enhances GitLab servers with merge request review comment posting functionality.
Implements a client for interacting with the MCP (Meta-Cognitive Protocol) using Anthropic's API, including an agency loop.
Enables AI assistants to interact with Telegram through the Model Context Protocol.
Serves as a Model Context Protocol (MCP) server, enabling image and video generation using the fal.ai APIs.
Enriches data from multiple security products using a Model Context Protocol server.
Provides access to Baidu Cloud Vector Database functionalities via the Model Context Protocol (MCP).
Generates server implementations from Solidity contracts for easier interaction with blockchain contracts through RESTful APIs.
Aggregates real-time hot topics data from various online platforms.
Provides Japanese postal code to address lookup functionality for AI assistants and other Model Context Protocol clients.
Enables AI assistants to interact with the Meta Marketing API for comprehensive ad campaign management.
Enables LLM-powered applications to manage and interact with Elasticsearch clusters using the Model Context Protocol.
Provides a server for programmatically building and flashing Zephyr microcontroller projects.
Facilitates searching and retrieving information on Japanese government subsidies.
Integrates robust file system capabilities into AI agents, enabling them to read, write, browse, and manage local files and folders across macOS, Windows, and Linux.
Executes TypeScript code in a secure sandbox environment, enabling calls to other MCP servers through an IPC bridge.
Empowers AI with autonomous hardware control for proactive, physiological, and boundary-aware interactions using Lovense devices.
Unifies Slack, Teamwork, and Telegram into a single gateway for secure, multi-user access to AI tools and MCP clients.
Enables AI agents on MacOS to provide text-to-speech output using the native 'say' command.
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