AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Enables vector similarity search using LanceDB and custom embedding functions within a Node.js environment.
Delivers personalized plant care recommendations and reminders for plant enthusiasts.
Facilitates natural language interaction with the Officient.io API through an MCP server.
Enables Large Language Models to interact with MongoDB databases using natural language.
Implements a Model Context Protocol (MCP) server for managing and summarizing notes.
Provides a remote endpoint for validating MCP server interactions.
Enables AI assistants to manage Raindrop.io bookmarks, collections, and tags via the Model Context Protocol.
Integrates the Fake Store API with AI assistants via the Model Context Protocol, enabling access to e-commerce product, cart, and user data.
Provides AI-powered analysis of medical reports, offering health insights through chat and voice support in multiple languages.
Facilitates seamless interaction with the Modulus Testnet blockchain as a production-ready Model Context Protocol (MCP) server.
mcp server which returns weather data.
Enables interactive command-line conversations with Anthropic's Claude, supporting document retrieval and custom command execution via the Model Control Protocol.
Facilitates interaction with the UseGrant API through the Model Context Protocol.
Enables natural language interaction with Salesforce data and metadata via Claude.
Manages personal finances by tracking expenses locally or remotely through a powerful API.
Enables applications to provide context for LLMs in a standardized way, separating the concerns of providing context from LLM interaction.
Enables interaction with the Salesforce REST API using the Model Context Protocol.
Implements an MCP server for Prem AI, enabling integration with Claude and other MCP-compatible clients.
Streamlines the creation of educational content with direct API integration for the EuConquisto Composer platform.
Enables MCP-compatible LLMs to communicate with a server and interact with the GitHub API.
Provides a foundational setup for deploying a remote Microservices Control Plane server, demonstrating both local and cloud deployment.
Integrates AI assistants with Tavily's advanced web search and data extraction functionalities.
Enables Large Language Models to interact with the BoldSign API for managing e-signature templates and documents.
Controls Philips Hue lights via conversational AI interfaces.
Automates interactions with Google Slides presentations, enabling the creation of new slides and programmatic addition of shapes.
Facilitates context-efficient file editing for AI agents through pattern-based copy and paste operations.
Executes Postman collections using Newman, enabling LLMs to run API tests and retrieve detailed results.
Enables AI assistants to manage tasks through a standardized interface using the Model Context Protocol (MCP).
Enables LLMs to retrieve and process web page content, converting HTML into markdown for easier consumption.
Relays detailed error logs from other MCP servers to LLMs, enabling more intelligent error recovery and reducing token waste.
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