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Expose Great Expectations data-quality checks as callable tools for LLM agents. Load datasets, define validation rules, and run data quality checks programmatically to integrate robust data validation into automated workflows. Support multiple data sources, authentication methods, and transport modes for flexible deployment.

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MCP server for Plainly Videos that lets users browse and render Adobe After Effects projects directly from their favorite LLM clients. It brings video automation to After Effects, making it easy to trigger batch rendering, personalization, and localization while keeping full creative control. Render at scale through API or CSV, making high-volume video production faster and more accessible.

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digiloglabs mcp

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Search 1,000+ World Bank economic and social indicators for 200+ countries. Filter by year, country, and demographics to access 60+ years of historical data. Compare results to surface the latest figures and trends.

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Connect to your Oura Ring data to retrieve sleep, activity, readiness, heart rate, stress, and workout metrics. Analyze recent sleep patterns, summarize activity, and check recovery status with clear, actionable insights. Track trends over time and bring your wellness metrics into your workflows.

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AI that runs your business so you don't have to.

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AgentFlow is a next-generation, premium agentic workflow system built on the Model Context Protocol (MCP). It transforms the way AI agents handle complex development tasks by bridging the gap between raw LLM reasoning and structured execution.

Check daily SSAFY cafeteria menus by date. Get floor-specific lunch options to plan meals at your location. Set a default floor for faster access.

AI-powered image generation, transformation, and upscaling for Claude Code using your local InvokeAI instance. ## Overview The InvokeAI MCP Server bridges Claude Code with InvokeAI, enabling seamless AI-assisted image creation directly from your development environment. Perfect for generating logos, icons, illustrations, and visual assets without leaving your workflow. ## Features ### Core Capabilities - **Text-to-Image Generation** - Create images from natural language descriptions using St

PentestThinkingMCP: AI-Driven Multi-Stage Penetration Testing Framework Part of the LIMA Research Project – Accepted at IEEE FMLDS 2025 Developed by Mohammad Ibrahim Saleem, Cybersecurity Researcher, University of Houston PentestThinkingMCP is an AI-powered MCP (Model Context Protocol) server developed as part of the LIMA research project. This work was recently accepted as a full paper at IEEE FMLDS 2025. The server automates and optimizes penetration testing workflows by planning complex, mul