AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Facilitates interaction with Raindrop.io bookmarking service as an MCP server.
Enables AI models to execute any open-source tool through the Model Context Protocol.
Provides AI assistants with direct access to Shopware's Admin API, enabling seamless product, category, order, and theme management.
Enhances the Stardew Valley experience with an intelligent AI assistant, providing conversational AI, RAG-powered queries, and multimodal image analysis.
Automates browser interactions using Python scripts for tasks like screenshot capture, HTML retrieval, JavaScript execution, and console log extraction.
Enables secure and private remote access to 3D printers for live status updates, webcam snapshots, and basic control via AI agents.
Provides a Model Context Protocol (MCP) server offering access to various Chinese stock market data queries via the TuShare API.
Enables AI assistants to perform comprehensive CRUD operations and system management within EspoCRM via a Model Context Protocol (MCP) interface.
Builds searchable knowledge bases from multiple data sources by loading data into a Qdrant vector database with MCP server support.
Enables Large Language Models and other MCP clients to interact with Ansys/AGI STK for digital mission engineering.
Orchestrates AI-powered tasks and automates workflows for Model Context Protocol environments.
Enables Large Language Models to interact with and understand Ant Design component documentation.
Aggregates documentation from GitHub repositories or URLs into a single file, optimized for use with Large Language Models (LLMs).
Provides a high-performance, private Retrieval-Augmented Generation (RAG) server for searching PDF documents locally within Claude Desktop using Ollama embeddings.
Connects a Large Language Model (LLM) to the Fitbit API, enabling data retrieval via Model Context Protocol (MCP).
Declaratively configures Model Context Protocol (MCP) servers across supported AI assistant clients using Nix.
Provides a hyper-personal, always-on, open-source AI companion for enhanced productivity and integrated workflows.
Implements a Retrieval-Augmented Generation (RAG) system leveraging Google's Agent Development Kit (ADK) and Qdrant vector database for enhanced LLM responses.
Connects to various lead generation applications to centralize and manage prospecting data.
Provides structured access to curated medical knowledge-bases for the Indian healthcare context, enhancing LLM responses with accurate information.
Provides real-time access to decentralized exchange (DEX) pair data, token information, and market statistics from the DexScreener API.
Provides comprehensive brew support for installing, upgrading, searching, and maintaining macOS packages.
Converts OpenAPI specifications into Model Context Protocol (MCP) tools for faster MCP server development.
Optimizes JSON data for Large Language Model (LLM) contexts by providing schema generation and intelligent filtering capabilities.
Enables programmatic desktop control, allowing mouse movements, keyboard input, and screen capture via a Model Context Protocol server.
Enables database interaction and business intelligence through an SQLite-based Model Context Protocol server.
Enables AI assistants to execute terminal commands on a system through a secure shell interface.
Enables AI assistants to interact directly with the microCMS content management system.
Forge ATS-friendly CVs, cover letters, and email templates by intelligently analyzing job postings and user profiles.
Integrates AI interfaces with specialized Contextual AI agents for context-aware, grounded responses.
Scroll for more results...