Discover our curated collection of MCP servers for api development. Browse 12429 servers and find the perfect MCPs for your needs.
Enables seamless integration between Unity and AI assistants via the Model Context Protocol (MCP).
Provides a command-line interface for accessing Model Context Protocol (MCP) servers.
Provides a Multi-Agent Conversation Protocol (MCP) server auto-generated for a specific OpenAPI specification.
Provides a Multi-Agent Conversation Protocol (MCP) server for the Google Search Console API.
Provides real-time weather information and alerts for US locations via the National Weather Service API, designed for AI assistant integration.
Provides a lightweight server for searching Apple Podcasts and retrieving detailed information.
Provides a remote server for accessing Jina AI's Reader, Embeddings, and Reranker APIs, enabling web content processing, diverse search capabilities, and data optimization.
Offers practical code examples and foundational building blocks for understanding and implementing A2A protocols.
Offers a robust Model Context Protocol (MCP) server providing comprehensive development support for kintone customizations.
Empowers AI models to interact with database entities through a modern API framework leveraging NestJS and Model Context Protocol.
Provides a comprehensive API to manage contributions, links, and profile data for the GitHub Stars program using a personal API token.
Provides an agentic medical AI assistant platform for multi-modal search, FHIR integration, and intelligent clinical insights.
Exposes HITL.sh Human-in-the-Loop tools as a production-ready Model Context Protocol server for AI applications.
Manages Italian electronic invoices easily, integrating with Fatture in Cloud API and AI assistants for streamlined processes.
Extracts public API surface from source files as compact JSON, detailing signatures, types, and interfaces without implementation bodies.
Integrates AI agents with the BringSkills AI skills marketplace, enabling seamless access and execution of purchased skills across various platforms.
Enables AI agents to send and receive end-to-end encrypted messages through the VoidSend protocol.
Provides a comprehensive C++ implementation of the Model Context Protocol (MCP) for AI agent-tool communication, featuring client, server, and RAG-driven intelligent tool retrieval.
Provides an open standard for businesses to describe their services to AI agents.
Access USDA National Agricultural Statistics Service (Quick Stats) data through the Model Context Protocol.
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