Discover our curated collection of MCP servers for api development. Browse 9149servers and find the perfect MCPs for your needs.
Provides a simple Node.js and TypeScript-based server project with a basic tutorial.
Provides a Model Context Protocol (MCP) server for Warp integration and a traditional HTTP REST API for development.
Establishes a foundation for creating servers that communicate with AI assistants and clients via Streamable HTTP transport.
Develops a simple Model Context Protocol server for managing interactive data and functionalities.
Enables AI-powered interaction with various databases using natural language queries.
Connects AI agents to Recruitee data, enabling advanced search, filtering, and reporting on recruitment information.
Provides a versatile server to execute SQL queries on SQLite databases using the MCP protocol across various communication modes.
Facilitates interactive command-line chat with AI models, supporting document retrieval and extensible tool integrations.
Facilitates AI agents' access to BaSB workspaces via the Model Context Protocol.
Manages projects and tasks through a TypeScript-based REST API with Model Context Protocol integration.
Provides a foundational implementation of the Model Context Protocol using the NestJS framework.
Manages orders through a REST API for a Model Context Protocol server.
Facilitates interaction with the Transport NSW API using the Model Context Protocol for accessing real-time transport data.
Deploys an authentication-less remote Model Context Protocol (MCP) server on Cloudflare Workers.
Empowers AI assistants with fundamental stock technical analysis capabilities, including moving averages, RSI, and trade recommendations.
Retrieves real-time and historical weather data, along with current time information, from the Open-Meteo API.
Provides seamless access to multiple state-of-the-art AI models via OpenRouter for MCP-compatible clients.
Establishes a standardized protocol for managing model-context interactions in distributed applications.
Provides a FastAPI-based API for managing book data, designed to explore the Model Context Protocol (MCP) implementation in a client-server context.
Exposes tools and resources for interacting with Kinetica's database, SQL-GPT contexts, and real-time monitoring via a Model Context Protocol server.
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