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。9929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。
Processes mathematical calculations and interprets natural language math queries via a Node.js server.
Integrates with the Notion API using the Model Context Protocol (MCP) to function as an MCP server for applications like Cursor.
Provides access to Metaplex documentation and repository information through the Model Context Protocol.
Enables AI assistants to control Spotify playback and access user playlists through the Model Context Protocol (MCP).
Enables AI agents to interact with Up Bank accounts via a Model Context Protocol (MCP) server.
Enables large language models to query live Certinia data using natural language via CData JDBC Drivers.
Connects Large Language Models (LLMs) to live Oracle SCM data, enabling natural language queries without SQL.
Facilitates Telegram Bot API integration for blogging and content publishing, compatible with AI clients like ChatGPT and Make.com.
Retrieves real-time weather information for any city worldwide.
Integrates the Google Gemini Pro API with Claude Desktop, enabling advanced text and image analysis.
Accesses PubChem's vast chemical database for comprehensive chemical search, structure analysis, property prediction, bioactivity data, and safety information.
Provides access to Google Maps services including maps, geocoding, place search, navigation, and elevation through a Model Context Protocol (MCP) server.
Visualizes Google Trends data via a Next.js web interface and exposes it as a tool for AI agents through an MCP server.
Establishes a secure, authenticated bridge between AI assistants and Databricks workspaces by hosting Model Context Protocol (MCP) prompts and tools on Databricks Apps.
Connects MCP clients like Claude Code to local LLMs running in LM Studio, allowing them to utilize a wide array of MCP tools.
Connects AI agents to the Somnia blockchain network using the Model Context Protocol.
Provides a standardized Model Context Protocol (MCP) interface for accessing CoinMarketCap's cryptocurrency market data, exchange information, and blockchain metrics.
Implements the Model Context Protocol (MCP) for creating servers and clients in Go, ensuring compatibility with pydantic-ai frameworks.
Connects the Chanty team collaboration and communication platform with Generative AI applications using a Model Context Protocol (MCP) server.
Transforms CSV or JSON data into structured JSON outputs using declarative YAML rules with powerful expression language and DTO generation.
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