API Development MCP Servers
Discover our curated collection of MCP servers for api development. Browse 7168servers and find the perfect MCPs for your needs.
JNews
Provides access to current trending news headlines and detailed content for use by Large Language Models.
Ts-Demo
Provides a basic Model Context Protocol (MCP) server implementation using TypeScript and the Bun runtime.
MongoDB
Exposes operations for managing MongoDB databases, collections, documents, indexes, and bulk operations via the Model Context Protocol (MCP).
Oxenstierna
Provides tools to access the Swedish National Archives through various APIs.
Custom
Integrates OpenAI models, RAG, search, and notes for intelligent multi-agent systems, providing a versatile platform for developers.
PostgreSQL SSH API
Provides secure, compact access to PostgreSQL databases, SSH command execution, and HTTP API interactions for AI agents.
FastMCP
Generates Model Context Protocol servers automatically from OpenAPI specifications and FastAPI applications.
Casual Servers
Empowers large language models with external tool-calling capabilities for mathematical operations, time management, weather information, and linguistic lookups.
Crawl4AI
Provides Micro Content Protocol servers for converting web pages and performing web searches.
Math
Exposes mathematical tools and prompt templates for use by LLM agents.
PostEx
Provides tools for interacting with the PostEx Merchant API to manage orders, track shipments, and handle logistics operations.
Mail Organizer
Provides unified mail operations with atomic tools for organizing and managing email efficiently.
TapData
Enables Large Language Models to interact with TapData for database connection inspection, schema retrieval, and CRUD operations.
Hello World
Provides a basic Model Context Protocol server example with simple methods.
Weather
Provides a sample server for integrating weather API data, including validate and resume endpoints for AI hackathon applications.
Puch AI Starter
Provides a foundational template for developing custom Model Context Protocol (MCP) servers integrated with Puch AI.
Garmin
Collects Garmin health data via webhooks and integrates it with ChatGPT using OpenAI's Remote MCP for contextual insights.
HTTP
Exposes Python functions as discoverable and executable remote tools via HTTP, following the Model Context Protocol.
RagWiser
Enables users to upload PDF documents, process them, and ask questions about their content using natural language, powered by Retrieval Augmented Generation (RAG).
Flow
Provides local and remote servers to execute FlowMCP schemas for AI–API integration.
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