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。9663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。
Enables LLMs to search and retrieve content from microCMS using the Model Context Protocol.
Provides access to weather information from the Caiyun Weather API via an MCP-compatible server.
Enables AI assistants to directly save notes to a user's Flomo account via the Model Context Protocol (MCP).
Implements Model Context Protocol servers.
Facilitates the setup and execution of MCP servers with custom tools.
Manages a to-do list using a command-line interface and a server-side API, leveraging JSON-RPC and LLMs for task management.
Provides a standardized interface for applications to supply contextual information to Large Language Models.
Accesses the Integrated Taxonomic Information System (ITIS) database to retrieve taxonomic data via its SOLR API.
Provides a Model Context Protocol (MCP) server to access mxHERO's high-performance multi-account email search service for AI solutions.
Provides a Model Context Protocol (MCP) server for fetching detailed Pokémon information, including stats, images, and cries, from the PokeAPI.
Accesses the National Sheep Improvement Program (NSIP) Search API to retrieve comprehensive sheep breeding and genetic data.
Enables AI assistants to search and access Stack Overflow content for technical solutions, error handling, and programming knowledge.
Calculates mortgage details and retrieves current interest rates, offering SSE streaming support.
Integrates the Brave Search API to provide comprehensive web search capabilities, including web, image, video, news, and local points of interest searches.
Retrieves real-time Kimchi Premium data for various cryptocurrencies.
Integrate LimeSurvey functionality with Model Context Protocol for automated survey creation and management.
Orchestrates dynamic, real-time notifications to third-party services like Telegram Bot and WeChat, driven by remote text, notification types, and verification parameters.
Exposes Databricks Unity Catalog metadata and data to AI agents in a deterministic, LLM-friendly format.
Connects Model Context Protocol (MCP) servers and tools with agent:// protocol agents for seamless interoperability.
Enables AI agents to programmatically interact with the Kalshi prediction market, facilitating data retrieval and trading operations.
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