Discover our curated collection of MCP servers for api development. Browse 9844servers and find the perfect MCPs for your needs.
Provides a Model Context Protocol (MCP) server for accessing financial data and executing trading operations using Angle One's trading APIs.
Integrates with Backlog to enable access and manipulation of Backlog data through MCP Server.
Implements a client and server for the Model Context Protocol.
Provides a Go-based MCP server to interact with Valetudo-powered robot vacuums via their HTTP API.
Enables MCP-capable LLM agents to communicate and delegate tasks to other LLMs available through the OpenRouter.ai API.
Enables Large Language Models like Claude Desktop to query live SendGrid data using CData JDBC Drivers.
Provides real-time weather data and forecasts to AI models and language assistants through an API.
Provides a Multi-Agent Conversation Protocol (MCP) server for interacting with the Google Sheets API.
Implements the Model Context Protocol by integrating with GitHub and Notion to manage tasks and handle webhooks.
Hosts Model Context Protocol (MCP) servers, offering remote connections with built-in GitHub OAuth authentication.
Provides a lightweight framework and tooling system for building and running Model Context Protocol servers and inspectors.
Integrates Hotels.com search and booking capabilities into a secure, type-safe API via Cloudflare Workers for Claude Desktop.
Provides a foundational Node.js server template for developing MCP project backends.
Bootstrap any OpenAPI/Swagger specification into a FastMCP-powered Model Context Protocol server, enabling AI copilots like Claude Code and Codex to call your API in minutes.
Validate EU VAT numbers in real-time and provide a REST API with MCP server support for seamless business and AI integrations.
Delivers current weather conditions, multi-day forecasts, and alerts for any location via a FastMCP server.
Establishes a structured, secure, and extensible architecture for exposing Python tools to Large Language Models (LLMs) and agent systems.
Transforms existing REST APIs defined by OpenAPI/Swagger documentation into Model Context Protocol (MCP) compliant service endpoints for AI agents.
Aggregates, secures, and orchestrates multiple Model Context Protocol (MCP) servers, acting as a central API gateway for LLM applications.
Invokes a single Watson Orchestrate agent remotely through a lightweight Model Context Protocol server.
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