Discover our curated collection of MCP servers for api development. Browse 9306servers and find the perfect MCPs for your needs.
Builds and runs polyglot Model Context Protocol (MCP) servers for AI agents.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers with OAuth login.
Integrate AI assistants with Metabase analytics data, bridging your analytics platform with conversational AI.
Automates tasks by integrating Gmail and GitHub using an intelligent agent powered by OpenAI.
Provides remote access to a Door support knowledge base, offering quick search and incremental content synchronization via an HTTP API and Model Context Protocol.
Provides comprehensive Trello integration for AI assistants and applications through a standardized interface.
Provides structured access to GitHub repository data, exposing it as reliable, AI-callable tools for agents.
Provides access to YNAB (You Need A Budget) functionality through the Model Context Protocol.
Provides a minimal MCP tool server with weather and greeting functionalities, integrated with a LangChain agent for dynamic tool discovery.
Connects Claude AI to real estate data, enabling retrieval of basic property information through the ATTOM Data API.
Manages tasks through the Model Context Protocol (MCP).
Integrates with the CEDAR metadata repository, enabling AI agents to access and manage biomedical metadata as a Model Context Protocol server.
Establishes a standardized communication framework for managing context with AI models.
Provides a Model Context Protocol (MCP) server leveraging Server-Sent Events (SSE) for real-time interaction, integrating with n8n workflows and orchestrating calls to external system APIs with natural language support.
Integrates Claude with a Model Context Protocol (MCP) server for accessing Microsoft Graph API.
Facilitates AI-powered chat about personal resumes and enables email notifications, ideal for job interviews and demonstrating Model Context Protocol capabilities.
Integrates fitness data from Intervals.icu, Whoop, and TrainerRoad to offer a unified view of activities, recovery, and training metrics.
Showcases Spring AI capabilities by enabling Large Language Models to interact with diverse local datasets for complex question answering and data aggregation.
Processes XLS and CSV files using a Java-based server.
Manage Docker containers through an HTTP API or MCP server, enabling seamless integration with AI agents for isolated code execution.
Scroll for more results...