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。9039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 AI assistants to control Spotify playback, manage playlists, search music, and access user information.
Establishes a Model Context Protocol (MCP) server for seamless interaction with Kogna's multi-agent AI avatar system.
Enables querying of live Bullhorn CRM data from Large Language Models (LLMs) like Claude Desktop through CData JDBC Drivers.
Provides natural language access and advanced filtering capabilities for the 1000 Genomes Project dataset.
Streamlines AI development by providing comprehensive rules and configurations for consistent, high-quality coding across multiple AI copilots.
Provides an example client for interacting with an MCP server using Electron and React.
Installs the HAPI CLI with a single command to swiftly integrate and test APIs.
Provides a TypeScript implementation of a Model Context Protocol (MCP) server, designed to evaluate MCP capabilities with Retrieval-Augmented Generation (RAG).
Facilitates communication with G1 Bluetooth Low Energy devices using the Nordic UART protocol, offering robust connection management and auto-reconnection.
Provides a tool-based interface to a locally running LightRAG HTTP API, enabling programmatic interaction with its capabilities.
Integrate AI capabilities and bot functionality with Telegram, exposing messaging tools via the Model Context Protocol.
Manages Azure DevOps authentication and context dynamically, allowing seamless integration with multiple projects and organizations from a single server instance.
Empowers AI assistants and agents to interact with the Sei blockchain and the broader Web3 ecosystem through a unified interface.
Enables AI assistants like Claude to query a sales GraphQL database using natural language.
Provides persistent memory and semantic search capabilities for autonomous AI agents.
Integrates diverse external APIs and data sources into Model Context Protocol servers using FastMCP.
Automatically identifies, extracts, and optimizes logo icons from websites using advanced recognition and selection algorithms.
Enables large language models to query live LinkedIn Ads data using natural language, leveraging CData JDBC drivers.
Connects large language models to live Microsoft Planner data, enabling natural language querying without SQL.
Establishes a production-ready trading server for integrating with the Zerodha Kite Connect API and compliant with the MCP Protocol.
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