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。12411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。
Implements an MCP server for Prem AI, enabling integration with Claude and other MCP-compatible clients.
Enables weather queries for global cities within the Cursor AI assistant.
Provides a TypeScript interface for automating Binance spot trading operations.
Provides simulated weather data and related functionality through an MCP and HTTP API server.
Provides book-related tools through a Model Context Protocol (MCP) server built with FastAPI, offering both stdio and HTTP interfaces.
Provides real-time iRacing telemetry data and in-game functionality via the Model Context Protocol.
Transforms JSON data from strings or URLs into CSV format for seamless integration with spreadsheet applications.
Provides Model Context Protocol (MCP) access to Star Wars API data, enabling AI tools like Claude Desktop to interact with the Star Wars universe.
Integrates Gmail's comprehensive email functionalities through the Model Context Protocol (MCP) for standardized management.
Serves dynamic SpaceX API data over the Model Context Protocol.
Serve comprehensive, self-contained robotics information via a Model Context Protocol (MCP) server for AI assistants and developers.
Integrates the Famulor Voice Agent Platform with MCP-compatible clients to enable AI-powered phone calls, voice assistant management, and call data retrieval.
Integrates AI assistants with MockServer, allowing programmatic management of HTTP expectations, request verification, and state control.
Delivers graph-powered semantic search over civic consultation datasets for Large Language Models via a Model Context Protocol server.
Connect to the Fred database to query and explore economic data.
Facilitates AI assistant and developer interaction with IBM Maximo Application Suite 9.x through 143 purpose-built tools.
Enables AI agents to manage software licenses conversationally through the Labs64 NetLicensing REST API.
Provides structured UI/UX design intelligence, patterns, and guidelines, enabling AI agents to programmatically access and utilize design best practices.
Orchestrates universal multi-agent systems, providing an infrastructure layer for interoperability, auditability, and production readiness for autonomous AI agents.
Manage OmniFocus tasks and projects efficiently from the command line and integrate with AI assistants via an MCP server.
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