AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Enables query and invocation of Dify workflows within an MCP server environment.
Manipulates video files using FFmpeg to resize videos and extract audio in various formats.
Enables AI assistants to interact with and extract information from an Unraid server through the official Unraid GraphQL API.
Augments AI responses with relevant documentation context through vector search.
Provides reference information for shadcn/ui components to AI assistants.
Enables LLMs to access Rust crate documentation for improved code understanding and generation.
Enables AI agents to interact with LinkedIn data, search profiles, find jobs, and send messages through the Model Context Protocol.
Maintains project context across development sessions for AI-assisted coding with the Cline VSCode extension.
Connect a personal WhatsApp account to an AI agent using the Model Context Protocol.
Enhances language models with specialized prompts fetched from the L1B3RT4S repository to potentially bypass limitations.
Enables querying of a hybrid graph and vector database using the Model Context Protocol for enhanced document retrieval.
Provides examples for integrating the Model Context Protocol with AWS services.
Provides a basic implementation of an MCP server and client for tools, resources, and prompts.
Tracks files semantically, enabling AI-powered search and retrieval.
Fetches portfolio details from the Interactive Brokers (IBKR) API.
Enables AI assistants to initiate and manage voice calls using Twilio and OpenAI.
Enables interaction with the Coda API by acting as a Model Context Protocol (MCP) server.
Exposes robust document processing capabilities through natural language interactions, enabling both human users and AI agents to manipulate and extract information from documents.
Translates PowerPoint presentations using Amazon Bedrock models, preserving original formatting and structure.
Empowers developers to build and integrate custom external tools with Puch AI using the Model Context Protocol (MCP).
Provides a comprehensive multimodal AI toolkit, integrating powerful capabilities from Zhipu GLM and Pollinations.AI for advanced media analysis and generation.
Connects Model Context Protocol (MCP) clients to Gemini Cloud Assist APIs, enabling natural language management and troubleshooting of Google Cloud environments.
Enables agentic AI applications to interact with IBM i systems through a robust Model Context Protocol (MCP) server.
Provides tools for sending transactional emails and managing email templates via the Mailtrap platform.
Empowers AI agents to orchestrate industry-standard reverse engineering tools like Ghidra, Radare2, and YARA for automated malware analysis and security research.
Provides a token-efficient local server to give AI assistants access to DaisyUI component documentation.
Provides a modern, systems-oriented scripting language that transpiles to Rust, optimized for data science and scientific computing.
Encapsulates the Exa Pool API as a toolkit for AI assistants, providing a lightweight Model Context Protocol server.
Facilitates academic paper search, intelligent curation, and multi-platform distribution using the MCP protocol.
Provides SNN-verified evaluation and prediction credibility for any document, ensuring hallucination-free analysis.
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