AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Leverages AI models and resource sets for tasks like semantic search, relationship extraction, and context-aware question answering.
Provides searchable access to LlamaIndex documentation for VS Code Copilot integration via a Model Context Protocol (MCP) server.
Enables the use of Model Context Protocol (MCP) servers with Cloudflare Durable Objects, utilizing a Server-Sent Events (SSE) transport layer.
Interacts with a Model Context Protocol server, enabling users to send commands, query data, and manage resources.
Provides neuroscience-inspired intelligent project analysis and learning capabilities, enhancing software development workflows within Claude Code.
Provides a server to manage and control Philips Hue smart lighting systems.
Provides a basic example of a Server-Sent Events (SSE) server implementation for the Model Context Protocol (MCP).
Enables the creation of scalable Model Context Protocol (MCP) servers, supporting flexible deployment from CLI to horizontally scaled HTTP services.
Provides an MCP server integration for the Anki flashcard application.
Enables AI assistants to verify domain name availability and validate syntax in real-time.
Generates a Multi-Agent Conversation Protocol (MCP) server specifically for the Asana API using an automated builder.
Provides AI assistants with secure, read-only access to MoneyWiz financial data for natural language queries and financial analytics.
Provides a comprehensive Python-based interface for programmatic management of Clappia applications, forms, and submissions.
Connects AI models to Steampipe, enabling them to execute queries and retrieve data.
Transforms your NFT collection into unique 3D origami patterns using AI sentiment analysis and algorithmic curation.
Provides MetaTrader5 market data and technical indicators through a Model Context Protocol server.
Enables AI agents to efficiently fetch, track, and act on Bybit cryptocurrency exchange announcements.
Provides real-time weather information to AI models via the Model Completion Protocol.
Publish a single Markdown post to multiple blog platforms simultaneously, including Hashnode and Dev.to, from a cloud-hosted server.
Provides comprehensive browser automation capabilities for AI assistants using Playwright.
Analyzes Icecast streaming server configurations for security, performance, and capacity planning.
Provides a comprehensive set of tools and frameworks for building a mobile virtual network operator (MVNO) infrastructure.
Enables BioStudies search integration within Claude Desktop using the Model Context Protocol.
Facilitates bulk BNB and BEP20 token transfers on the BNB Smart Chain.
Automates Python script execution via LLMs within isolated environments.
Enhances and structures prompts using POML best practices for more reliable AI agent workflows.
Implements a Python-based server for Retrieval-Augmented Generation (RAG) workflows, managing context, tool invocation, and model output for clients like Claude Desktop.
Provides a robust WebSocket-based server for managing AI model requests and responses via the Model Control Protocol.
Enables large language models to interact with Databricks clusters, jobs, notebooks, and SQL functionalities through the Model Completion Protocol.
Bridges communication bi-directionally between MCP and HTTP, designed for modern microservices architectures with a focus on scalability, reliability, and observability.
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