API Development MCP Servers

Discover our curated collection of MCP servers for api development. Browse 7168servers and find the perfect MCPs for your needs.

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JNews

Provides access to current trending news headlines and detailed content for use by Large Language Models.

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Ts-Demo

Provides a basic Model Context Protocol (MCP) server implementation using TypeScript and the Bun runtime.

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MongoDB

Exposes operations for managing MongoDB databases, collections, documents, indexes, and bulk operations via the Model Context Protocol (MCP).

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Oxenstierna

Provides tools to access the Swedish National Archives through various APIs.

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Custom

Integrates OpenAI models, RAG, search, and notes for intelligent multi-agent systems, providing a versatile platform for developers.

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PostgreSQL SSH API

Provides secure, compact access to PostgreSQL databases, SSH command execution, and HTTP API interactions for AI agents.

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FastMCP

Generates Model Context Protocol servers automatically from OpenAPI specifications and FastAPI applications.

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Casual Servers

Empowers large language models with external tool-calling capabilities for mathematical operations, time management, weather information, and linguistic lookups.

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Crawl4AI

Provides Micro Content Protocol servers for converting web pages and performing web searches.

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Math

Exposes mathematical tools and prompt templates for use by LLM agents.

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PostEx

Provides tools for interacting with the PostEx Merchant API to manage orders, track shipments, and handle logistics operations.

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Mail Organizer

Provides unified mail operations with atomic tools for organizing and managing email efficiently.

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TapData

Enables Large Language Models to interact with TapData for database connection inspection, schema retrieval, and CRUD operations.

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Hello World

Provides a basic Model Context Protocol server example with simple methods.

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Weather

Provides a sample server for integrating weather API data, including validate and resume endpoints for AI hackathon applications.

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Puch AI Starter

Provides a foundational template for developing custom Model Context Protocol (MCP) servers integrated with Puch AI.

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Garmin

Collects Garmin health data via webhooks and integrates it with ChatGPT using OpenAI's Remote MCP for contextual insights.

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HTTP

Exposes Python functions as discoverable and executable remote tools via HTTP, following the Model Context Protocol.

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RagWiser

Enables users to upload PDF documents, process them, and ask questions about their content using natural language, powered by Retrieval Augmented Generation (RAG).

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Flow

Provides local and remote servers to execute FlowMCP schemas for AI–API integration.

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