Discover our curated collection of MCP servers for api development. Browse 9306servers and find the perfect MCPs for your needs.
Establishes and manages a Milvus vector database, including data ingestion, search functionalities, and integration into AI workflows.
Configures, inspects, and proxies secure Model Context Protocol (MCP) servers with hot reload support.
Retrieves real-time weather information for specified cities using the HeyWeather API.
Integrates FindMine's product styling AI with Large Language Models via the Model Context Protocol.
Enables AI assistants to programmatically manage Jira issues through Jira's REST API.
Provides a modern TypeScript template for rapidly building Model Context Protocol (MCP) servers.
Connects and queries MySQL, Redis, and MongoDB databases through a Model Context Protocol (MCP) server.
Manages ToDoList (.tdl) XML files, providing full CRUD operations for tasks and maintaining compatibility with the ToDoList desktop application.
Enables AI assistants to interact with GitHub through a Model Context Protocol (MCP) server.
Provides Python sample code demonstrating integration between an MCP server and a REST API built with FastAPI.
Provides an unofficial MCP server for the mapy.cz API.
Integrates ELFA crypto data and CoinGecko prices with built-in technical analysis for enhanced market insights.
Manages Azure DevOps authentication and context dynamically, allowing seamless integration with multiple projects and organizations from a single server instance.
Provides a Model Context Protocol (MCP) server for seamless control and monitoring of the Transmission BitTorrent client via its RPC API.
Retrieves movie and TV show information using the TMDB API.
Connects to MCP servers through a LangGraph agent, enabling users to access and utilize various tools.
Facilitates AI assistants to read, search, and interact with Obsidian notes via a Model Context Protocol server.
Automate comprehensive recruiting and staffing workflows by interacting with the CATS API v3 through 164 specialized tools.
Facilitates the creation of custom Model Context Protocol (MCP) servers, enabling AI assistants like Puch AI to securely interact with external tools and data sources.
Provides a production-ready Model Context Protocol (MCP) server for comprehensive research and analysis, integrating web and academic search with intelligent content extraction and an optional interactive web interface.
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