api development向けの厳選されたMCPサーバーコレクションをご覧ください。12281個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Generates images from text prompts using the Black Forest Lab's FLUX model.
Integrates with the Africastalking API for SMS functionality.
Facilitates searching, analyzing, and retrieving medical literature from the PubMed database.
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 Model Context Protocol (MCP) server, enabling AI assistants to interact with the Discord platform.
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.
Integrate AI capabilities and bot functionality with Telegram, exposing messaging tools via the Model Context Protocol.
Provides a framework and pre-built integrations for various services, including Yandex Tracker, Yandex Wiki, and TickTick, designed for AI clients and agents.
Manages Model Context Protocol servers without shadow code through a command-line interface.
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.
Transforms any OpenAPI or Swagger specification into a runnable MCP server with a single command, making existing REST APIs instantly callable by AI tools.
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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