Discover our curated collection of MCP servers for api development. Browse 12277 servers and find the perfect MCPs for your needs.
Queries the USGS Earthquake API using natural language through a Model Context Protocol (MCP) server.
Generates images from text prompts using the Black Forest Lab's FLUX model.
Fetches information about npm packages, including details and popularity rankings.
Serves as a server for voice AI applications utilizing OpenAI.
Serves LinkedIn profile data via the Model Context Protocol (MCP) for integration with AI models like Anthropic.
Provides task management capabilities by bridging AI interaction with a Laravel application.
Provides a versatile Model Context Protocol (MCP) server offering a wide array of utility, file, network, and system tools.
Provides comprehensive tools for AI assistants to interact with the Hyperliquid decentralized exchange, enabling trading operations, account management, and market data retrieval.
Provides real-time information for Taiwan High Speed Rail, including timetables, station details, train statuses, and seat availability.
Enables AI agents to seamlessly interact with the Binance cryptocurrency exchange via a Model Context Protocol server.
Enables robust integration with the Sonic blockchain, providing a Model Context Protocol (MCP) server for production-ready decentralized applications.
Manages Model Context Protocol servers without shadow code through a command-line interface.
Empowers AI agents to connect, share, and interact within the Yoyo social network.
Enables AI agents to create, discover, track, and manage tokens across various blockchain networks.
Extracts symbols, traces dependencies, and analyzes code impact across multiple programming languages directly from the command line.
Exposes a pluggable, observable, and modular Retrieval Augmented Generation (RAG) service framework through the Model Context Protocol for direct invocation by AI assistants.
Provides AI agents with a comprehensive, local-first cognitive memory engine featuring namespace-isolated vector storage, advanced retrieval mechanisms, and knowledge graph capabilities.
Provides architectural context and dependency graphs to improve AI coding agent decisions and enhance developer understanding of growing codebases.
Exposes 17 production-grade micro-API tools for AI assistants, enabling native invocation via the Model Context Protocol.
Facilitates secure read and write access for AI coding agents to Microsoft Dataverse and XRM environments via the Dataverse Web API.
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