"Tesla Sales Data" matching MCP servers:

MCP server that renders bar, line, and pie charts from data using QuickChart, returning PNG file paths.

Enables AI agents and MCP-compliant clients to extract visual data from charts and graphs into structured markdown tables using deterministic, zero-dependency Python.

MCP server that lets AI assistants like Claude or Cursor extract structured data (e.g., invoices) from images and PDFs via Vision API, with tools for analysis, questions, and preset management.

Enables AI agents to recognize passports, national ID cards, and driver's licenses from images and return the printed fields, MRZ data, and authenticity results as structured JSON.

Enables AI assistants to generate real images via multiple models (OpenAI, Gemini, Recraft, Seedream, Grok, Arrow) and returns usable file paths instead of base64 data.

Zero-auth hosted MCP for AI builders: optimize/convert images (WebP/AVIF/JPEG), paste-ready SVG QR codes, plus cited Cleanor Labs data on device storage capacity and next-gen image-format savings. No API key or signup.

Enables AI agents to author node-graph-based procedural graphics as data and render them deterministically via a pinned headless engine, returning validated, hashed image artifacts with full provenance.

Enables AI agents to analyze images via Gemini vision models, supporting local paths, URLs, and data URLs with custom prompts.

Provides machine learning researchers with tools for creating publication-quality scientific visualizations, statistical plots, and 2D data representations. It streamlines the research workflow by enabling AI assistants to generate complex figures from CSV, JSON, or direct data inputs.

Enables AI assistants to run pay-per-result web data and media tools such as website tech stack detection, document-to-Markdown conversion, SEO audits, OCR, and domain lookups via Apify.

Lizard Eyes — a local vision MCP server backed by Qwen3-VL-4B, exposing a single vision.inspect tool for analyzing images via llama-server.

A 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.

Enables AI assistants to fetch and analyze YouTube data, including video info, transcripts, channel analysis, and comparisons, with both free and API-key extended tools.

An MCP server that captures screenshots of URLs or local app windows and analyzes them with a local Ollama vision model, enabling Claude to visually inspect web pages and desktop applications without sending image data externally.

Produce complete videos from a natural-language brief with Maestro through the Ace Data Cloud API.

Enables image generation and transformation using Gemini API, returning file paths instead of base64 data to avoid token limit issues in Claude Code.

Enables intelligent multi-provider image generation through OpenAI and Google Gemini APIs with automatic provider selection, support for reference images, real-time data grounding, and conversational refinement.

MCP server that exposes an analyze_image tool using Gemini vision models to describe or analyze images from local paths, URLs, or base64 data URIs.

Enables AI agents to read Excel files with full content extraction, including embedded images, cell data, formulas, and merged cells, returning multimodal content for vision-capable models.

MCP server for ScanToBill, an AI-powered OCR platform that extracts structured JSON from invoices and business documents in Arabic and English. It enables Claude Desktop to extract invoice data from URLs, list past extractions, and retrieve detailed results.