Discover our curated collection of MCP servers for api development. Browse 11163 servers and find the perfect MCPs for your needs.
Generates responses based on the latest information using the Gemini API and Google Search.
Enables Solana RPC methods for querying blockchain data through natural language.
Exposes tools powered by Integration App through the Model Context Protocol (MCP).
Maps and analyzes GitHub repositories, providing structural information and summary statistics directly within your code editor.
Implements a Model Context Protocol (MCP) server for the Qwen Max language model, enabling integration with tools like Claude Desktop.
Enables AI Agents to interact with the Twilio SendGrid v3 API for managing contacts, lists, templates, and email sends.
Coordinates and manages tasks across multiple Large Language Model (LLM) instances.
Exposes grep functionality through the Model Context Protocol (MCP).
Provides code context from local git repositories via semantic search.
Connects to the Inkeep RAG service to retrieve product content and documentation.
Provides detailed type information from .NET projects to enhance AI coding agent capabilities.
Exposes database schemas and tables via an MCP server using FastAPI, ODBC, and SQLAlchemy.
Declaratively builds Model Context Protocol (MCP) servers in Go, exposing tools, resources, and prompts.
Simplifies the interaction of AI agents with Move-based blockchains by providing a unified interface for blockchain operations.
Simplifies building Model Context Protocol (MCP) servers within NestJS applications using decorators.
Enables programmatic interaction with Telnyx's comprehensive suite of communication APIs, including telephony, messaging, and AI assistant functionalities.
Connects AI assistants like Claude and Cursor to your Yazio nutrition data for diet tracking and management.
Enable AI agents to deterministically create, validate, and manage buildingSMART Information Delivery Specification (IDS) files with 100% compliance.
Transforms Blender into an MCP server, enabling AI agents to control its 3D environment using over 50 powerful tools via API.
Streamlines API test generation and execution using a YAML declarative approach, optimized for AI coding assistants.
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