api development를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 11163개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables AI models to interact with the Lightning Network by paying invoices.
Enables AI models to interact with WhatsApp through a standardized interface.
Provides a Model Context Protocol (MCP) server for interacting with Postgres databases and automating database operations.
Provides real-time stock data, historical information, and related news.
Connects GitHub code to Claude.ai by extracting code from repositories using the Pera1 service.
Enables AI assistants to interact with and manage Google Cloud Platform resources through a standardized interface.
Connects AI assistants to the TailorKit API, enabling them to manage customizable product templates for e-commerce platforms.
Connects AI coding assistants like Cursor, Windsurf, and Claude Code to Microsoft SQL Server databases.
Enables programmatic interaction with the SocialData API to fetch Twitter/X data, monitor user activity, and analyze social media engagement.
Integrates directly with macOS Calendar, enabling full management of events and calendars via AppleScript.
Implements a lightweight and fast server for the Model Context Protocol (MCP), leveraging streamable HTTP and the Nitro framework.
Provides historical financial market data for A-shares, Hong Kong, and US stocks via the AkShare API as an MCP server.
Enables users to create, customize, and generate interactive UI components through a sophisticated server with a modern glassmorphism design.
Provides real-time public transport data across Europe through an MCP-compatible local server.
Integrates with Phabricator and Phorge APIs to enable advanced automation and interaction capabilities.
Accesses real-time NYC subway data for arrivals, routes, and alerts, leveraging AI for natural language and location-aware queries.
Serves both a REST API and a Model Context Protocol interface from a single Cloudflare Worker.
Provides tools for querying, searching, and validating OpenStreetMap tags and exploring presets using the official `id-tagging-schema` library.
Quickly create REST API endpoints for rapid prototyping and Minimum Viable Product (MVP) development.
Enables AI models to reliably follow instructions by registering plain-language instructions as persistent Model Context Protocol tools.
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