API Development MCP Servers
Discover our curated collection of MCP servers for api development. Browse 6105servers and find the perfect MCPs for your needs.
Axiom
Provides a model context server for Axiom, designed for use with the Zed AI assistant.
RevenueBase
Verifies business emails, including catch-all and firewall-protected domains, with high accuracy.
Klingon Lorem Ipsum Generator
Generates Star Trek Klingon Lorem Ipsum placeholder text via a Model Context Protocol (MCP) server.
TypeScript Definition Finder
Locates the original definitions of TypeScript symbols, including those from imported packages, within a codebase.
Mcp-Servers
Provides reference implementations and community-built servers for the Model Context Protocol (MCP).
NBA
Provides real-time and historical NBA data to Large Language Models through an MCP server.
Servers
Provides a modular ecosystem of servers designed for AI-driven extensibility and open-source collaboration.
FastAPI
Generates a Multi-Agent Conversation Protocol (MCP) server from an OpenAPI specification.
Web Tools
Enables Large Language Models to interact with web content through standardized tools.
General
Unifies social media and web search capabilities for AI assistants.
Google Search
Provides web search capabilities using Google Custom Search API and extracts content from webpages for AI model integration.
OpenLibrary
Provides access to the OpenLibrary API for searching books via both FastAPI and Model Context Protocol (MCP) servers.
Vertex AI Retail Search
Exposes Google Cloud's Vertex AI Search for Commerce as an AI agent tool, facilitating natural language product queries.
Zenn
Provides an unofficial Model Context Protocol server for fetching articles and books from Zenn.dev.
AI Tooling Server
Implements a streamable HTTP server that enables intelligent tool usage via Azure OpenAI GPT-4o with the Model Context Protocol.
Fetch API
Facilitates sending diverse HTTP requests and automatically processes various response types within a Model Context Protocol (MCP) environment.
Cricket Prediction
Demonstrates building a Model Context Protocol (MCP) server in Python to expose custom tools and resources to large language models (LLMs) and MCP clients.
Adaptive
Provides intelligent, multi-strategy solutions to complex questions using AI reasoning.
JS-Peer
Provides programmatic access to js-libp2p universal connectivity functionality, enabling AI assistants to interact with peer-to-peer networks.
Repo
Exposes code repositories to AI clients, enabling direct read, write, and navigation of codebase files.
Scroll for more results...