Discover our curated collection of MCP servers for api development. Browse 9312servers and find the perfect MCPs for your needs.
Enables agentic AI applications to interact with IBM i systems through a robust Model Context Protocol (MCP) server.
Provides AI agents with seamless access to TomTom's location services, including search, routing, and traffic data, via a Model Context Protocol (MCP) server.
Enables AI assistants to query and analyze Kong Gateway configurations, traffic, and analytics through a Model Context Protocol (MCP) server.
Enhances the Gemini CLI by providing intelligent command routing, dynamic persona switching, and real Multi-Client Protocol (MCP) server orchestration.
Queries Solana blockchain transactions using natural language via the Solscan API.
Manages tasks efficiently for AI agents, supporting multiple formats and optimizing LLM interactions.
Creates multiple implementations of proposed software features using coding agents and a unified API for tool access.
Provides access to LeetCode problems, user data, and contest information via a GraphQL interface.
Extracts narrative and API documentation from a library in a format suitable for use with AI coding assistants.
Provides a command-line and API-based coding assistant utilizing OpenAI APIs, function calling, and streaming.
Integrate OpenRouter's vast collection of AI models directly into Claude Code through a local server.
Provides an enterprise governance layer for Model Context Protocol SDK, adding identity, RBAC, credential management, auditing, logging, and tracing capabilities.
Enables building Model Context Protocol (MCP) clients and servers in Go.
Enables other tools like Claude to create and interact with OpenAI assistants through the Model Context Protocol.
Provides Baseline status for Web Platform APIs, enabling integration with AI models through MCP.
Enables AI-powered administration of Keycloak users and realms through the Model Context Protocol.
Accelerates backend and frontend service development using ASP.NET Core and EF Core through intelligent code generation.
Exposes Dify workflows as a Model Context Protocol (MCP) server for integration with AI clients.
Enables Large Language Models to search, retrieve, and manage documents and integrations through Rememberizer's document and knowledge management API.
Enables natural language interaction with Microsoft 365 services through Large Language Models (LLMs).
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