A
licenseC
qualityC
maintenanceMCP server that renders bar, line, and pie charts from data using QuickChart, returning PNG file paths.
1
275
MIT
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"How to query data from a Snowflake database" matching MCP servers:
- AlicenseAqualityCmaintenanceRoutes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.2416MIT
- Alicense-qualityBmaintenanceMCP server for ingesting UI screenshots, Figma MCP node JSON, or hybrid Figma-plus-screenshot sources into a cross-platform design-to-code artifact pipeline.122MIT
- AlicenseAqualityDmaintenanceMCP server that turns articles, transcripts, and markdown into LinkedIn carousel PDFs, Instagram PNGs, and Threads PNGs. Content in, slides out. No web UI, no cloud service.51MIT
- Alicense-qualityDmaintenanceEnables text-to-image generation using Zhipu AI's CogView-4 API. Supports generating images from text prompts with configurable size and quality parameters through MCP-compatible clients like Claude Desktop and Cline.25MIT
- Flicense-qualityDmaintenanceEnables natural language search through personal video collections, returning AI-generated descriptions and direct URLs to relevant 30-second video clips.
- FlicenseAqualityDmaintenanceAn MCP server for generating images and checking generation status through ComfyUI's API. It allows interaction with local ComfyUI instances by providing workflow-based image generation and status checking tools.3
- Alicense-qualityCmaintenanceEnables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.MIT
- Flicense-qualityDmaintenanceConverts local images or remote image URLs to Base64 format via the MCP protocol, enabling AI assistants to process images.1
- AlicenseBqualityAmaintenanceMCP server that lets AI assistants control Adobe After Effects - ExtendScript execution, background rendering, and deep project/layer inspection - with first-class Arabic/RTL and multilingual support. 44 tools.49767MIT
- -licenseBquality-maintenanceEnables generation of various chart types (bar, line, pie, radar, etc.) using QuickChart.io service. Supports creating chart URLs and downloading chart images locally with customizable Chart.js configurations.2308
- Alicense-qualityBmaintenanceEnables natural language interaction with complex computer vision workflows such as auto-labeling, class mapping, and embedding selection through an LLM-agnostic MCP orchestration layer.1MIT
- Alicense-qualityBmaintenanceOfficial BMBrick engine for converting local images into high-fidelity LEGO-style brick mosaics for AI agents.71Inno Setup
Maestro MCP Serverofficial
AlicenseAqualityAmaintenanceProduce complete videos from a natural-language brief with Maestro through the Ace Data Cloud API.3MIT- AlicenseAqualityCmaintenanceA Model Context Protocol server that extracts images from URLs or base64 data and converts them into a format suitable for LLM analysis, allowing AI models to process and understand visual content.312621MIT
- AlicenseAqualityBmaintenanceMCP server that exposes an analyze_image tool using Gemini vision models to describe or analyze images from local paths, URLs, or base64 data URIs.113MIT
- AlicenseAqualityBmaintenanceMCP server that provides an analyze_image tool using OpenAI-compatible vision LLMs to describe images from file paths, URLs, or base64 data.1201MIT
- AlicenseAqualityBmaintenanceConverts handwritten journal photos into a searchable, AI-powered local knowledge base using Tesseract OCR. It enables users to query their notes, track insights, and export data through MCP-compatible AI assistants while maintaining complete local data privacy.13MIT
- AlicenseAqualityDmaintenanceAllows AI assistants to generate and transform high-quality images from text prompts using Google's Gemini model via the MCP protocol.334MIT
- FlicenseAqualityCmaintenanceExtracts text from images and browser screenshots locally using Tesseract.js, without sending image data to the LLM.2
