API Development MCP 服务器
发现我们为 api development 精心策划的 MCP 服务器集合。浏览 7168 个服务器,找到满足您需求的完美 MCP。
GitHub
Interacts with the GitHub API to fetch user details, repository information, and authenticated user data.
Wasabina67
Provides a TypeScript example for building MCP servers.
Trello Claude Integration
Integrates the Claude language model with Trello project management through an MCP Server powered by Smithery.ai.
NE Power Grid
Provides a standardized interface for AI models to access real-time information about the New England power grid.
Facebook Post
Connect and manage text message posting to your Facebook business pages.
PostCrawl
Provides access to the PostCrawl API for searching and extracting content from social media platforms, particularly Reddit, optimized for AI assistants.
Ai-Agent
Automates email sending and Google Calendar event creation using natural language prompts.
Clover
Enables AI agents to securely access and interact with Clover merchant data, inventory, and orders.
Remote
Enables remote access to a Model Context Protocol (MCP) server on Cloudflare Workers with OAuth login.
MongoDB
Facilitates interaction with MongoDB databases, providing specialized tools for querying and managing user collections.
ElevenLabs
Enables interaction with ElevenLabs' powerful Text to Speech and audio processing APIs through the Model Context Protocol.
F1 Data
Accesses and delivers comprehensive Formula 1 data, including schedules, results, standings, and lap times via a Model Context Protocol server.
SourceSync.ai
Enables AI models to interact with SourceSync.ai's knowledge management platform through a standardized interface.
Aws Client
Manages AWS resources through the Model Context Protocol using AWS CLI or boto3.
Magisterium AI
Enables AI assistants to directly query the Magisterium AI API for Catholic Church teachings via an MCP tool.
RAG Application
Combines a Retrieval-Augmented Generation (RAG) system with the Model Context Protocol (MCP) to create a powerful, modular AI application.
Rap2
Provides seamless integration of RAP2 API documentation and interface management into AI programming assistants, enabling Large Language Models (LLMs) to directly access and operate RAP2 interface documents.
Dropbox
Provides an MCP server to enable AI assistants to manage files, folders, and sharing within Dropbox accounts.
Shopify
Enables AI agents to interact with Shopify stores through a standardized protocol.
Flask Webapp
Integrates LLMs with MCP tools, enabling users to process prompts using various AI models and contextual tools.
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