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。9130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。
Provides a FastMCP server for interacting with RSS feeds, deployable locally or as an Azure Python Web App.
Integrates Mailmodo with Claude Desktop and other Message Control Protocol (MCP) supported clients, enabling interaction with Mailmodo's email marketing functionality.
Enables AI assistants to directly save notes to a user's Flomo account via the Model Context Protocol (MCP).
Exposes technical analysis indicators from TA-Lib through an MCP server, HTTP API, and command-line interface.
Provides microservices for interacting with external APIs and managing data.
Integrates comprehensive Spotify functionalities through a Model Context Protocol (MCP) server, offering 36 production-ready tools for music operations.
Simulates financial data for application development and testing purposes.
Access real-time and historical stock market data for AI applications through a standardized Model Context Protocol interface.
Enables AI assistants to interact with Google's Gemini API using the Model Context Protocol.
Aggregates multiple third-party APIs and exposes them as unified Model Context Protocol tools.
Provides a remote Model Context Protocol (MCP) server with built-in Feishu OAuth authentication, enabling AI clients to interact with Feishu functionalities.
Converts REST APIs with Swagger/OpenAPI documentation into Model Context Protocol (MCP) tools, making them accessible to MCP-compatible clients.
Enables AI agents to seamlessly read, search, and intelligently modify Google Sheets data, specializing in high-performance cell update functionality.
Manages and analyzes geospatial data, offering capabilities for layer querying, statistics generation, and map exporting.
Provides a standardized Model Context Protocol interface for Large Language Models to interact with Tracxn financial data.
Facilitates the creation of mock data for MCP server development and testing.
Integrates RongCloud instant messaging services into an MCP server built on the FastMCP framework.
Models hierarchical narrative memory for AI systems based on the Random Tree Model, drawing from cognitive science and statistical physics.
Integrates local Ollama LLMs with a Model Context Protocol server to power OpenBanking applications.
Enables parallel execution of multiple Claude prompts, leveraging file contexts and output redirection.
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