API Development MCP Servers
Discover our curated collection of MCP servers for api development. Browse 5001servers and find the perfect MCPs for your needs.
Bridge
Integrates Large Language Models with real-world APIs using the Model Context Protocol for standardized AI-API interactions.
My Crypto
Retrieves cryptocurrency information via the CoinMarketCap API and provides it to Claude Desktop.
Axe Handle
Generates TypeScript/Express.js servers compliant with the Model Context Protocol from service definitions.
Generate UUID
Generates UUIDs using the D programming language and the `mcp` package library.
Agentic Modelling
Simulates model context protocol interactions using agentic modelling techniques.
Hugging
Enables Claude to create, manage, and interact with Hugging Face models, datasets, and spaces through natural language.
Mailmodo
Integrates Mailmodo with Claude Desktop and other Message Control Protocol (MCP) supported clients, enabling interaction with Mailmodo's email marketing functionality.
GraphQL
Provides a GraphQL API for querying and manipulating Mission Control Platform (MCP) data.
Alphavantage
Provides an MCP server for accessing stock market data from the Alphavantage API.
Amadeus
Connects to the Amadeus API to enable flight search, booking, and analysis capabilities for AI assistants.
Flask Webapp
Integrates LLMs with MCP tools, enabling users to process prompts using various AI models and contextual tools.
Weather
Provides weather information, including alerts and forecasts, using the National Weather Service API.
Mcpiol
Enables interaction with the Invertir Online (IOL) API via Claude Desktop using the Model Context Protocol (MCP).
AWS Helper
Manages a simple notes system, allowing creation, storage, and summarization of text notes via a Model Context Protocol (MCP) server.
Token Metrics
Provides cryptocurrency data, analytics, and insights through function calling, enabling AI assistants and agents to access real-time crypto market data.
Tiny
Implements a Model Context Protocol (MCP) client using the OpenAI API.
Function Hub
Integrates the Function Hub API with MCP (Meta-Configurable Platform) environments.
Model Context Protocol
Facilitates communication between large language models and external tools or data sources using the Model Context Protocol.
Uddeshya-23
Enables AI models to interact with Jira through a standardized Model Context Protocol interface.
Feature Request Collection
Connects AI tools to a Supabase database, enabling queries of the feature_suggestions table.
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