AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Integrates `.faf` (Project DNA) context into Claude Desktop for instant AI understanding of any project.
Enable AI agents to interact with Sperax Protocol's DeFi ecosystem, including USDs, SPA, veSPA, and Demeter on Arbitrum and BNB Chain.
Provides large language models (LLMs) with persistent, long-term memory capabilities across conversations using a multi-layered architecture and rapid GPU-accelerated search.
Establishes a personal memory layer for AI assistants, enabling semantic search, philosophical reflection, and knowledge management.
Creates a secure, standardized bridge between law firms' document management systems and AI assistants.
Provides a Python wrapper for the SNCF API, enabling intelligent journey planning and train information retrieval across France.
Enables querying and managing MLflow tracking servers using natural language via the Model Context Protocol (MCP).
Exposes OpenAI agents and tools as a Model Context Protocol (MCP) server.
Provides directions and transit information utilizing Kakao Mobility and Kakao Map APIs.
Integrates the Productboard API into agentic workflows.
Provides a unified Model Context Protocol server to access and combine responses from multiple Large Language Model APIs, including ChatGPT, Claude, and DeepSeek.
Analyzes website performance using Google's PageSpeed Insights API, providing detailed metrics and optimization suggestions.
Enhances code quality and streamlines documentation management with AI assistance and Brave Search integration.
Generates both vector and raster images using EverArt's AI models, providing flexible storage and format conversion.
Empowers AI assistants to leverage local Go module cache for understanding GoLang third-party packages without API limits or costs.
Analyzes text documents by counting words and characters.
Enables AI assistants to interact with Obsidian vaults via the Model Context Protocol.
Connects the Bear note-taking app to AI assistants, enabling semantic search and retrieval of notes.
Enables seamless integration with Rosetta and PyRosetta, facilitating the execution of RosettaScripts, XML validation, and direct access to molecular modeling tools within an MCP client.
Empowers AI agents to interact with the Android development environment, offering tools for asset conversion and real-time diagnostics.
Connects AI assistants to WinCC OA SCADA systems for intelligent industrial automation and monitoring.
Provides a shared memory layer to keep AI coding agents synchronized across different tools and tasks, ensuring no context is lost during collaborative development.
Accesses protein function and sequence information directly from UniProt.
Enables AI models to securely access and read local files using the Model Context Protocol (MCP).
Provides a curated list of popular Model Context Protocol (MCP) servers based on usage data from Smithery.ai.
Provides a minimal TypeScript template for building Model Context Protocol (MCP) servers.
Mirrors Figma design data with a simple implementation.
Enables AI agents to parse and extract information from various document types including DOCX, PDF, Excel, and TXT.
Manages aaPanel server instances by providing remote access to system information, website configurations, databases, Docker containers, and email accounts.
Organizes and manages various sources, such as papers, books, and webpages, integrating them with knowledge graphs.
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