"Information on Vision Pro" matching MCP servers:

Zero-dependency MCP server that equips text-only LLMs (e.g., DeepSeek) with vision by converting images to text descriptions via OpenAI-compatible vision APIs, exposing an img2text tool with multi-provider fallback.

An MCP server that adds vision capability to any LLM by forwarding images to OpenRouter vision models, returning text analysis. Supports image analysis, model listing, and config diagnostics.

Helps independent inventors calculate USPTO fees, determine entity status, track patent deadlines, and understand procedural rules without needing an attorney.

Provides OCR capabilities for images and PDFs using Yandex Vision API. Supports multiple recognition models and output formats.

Give MCP-compatible AI agents image analysis, metadata inspection, cropping, OCR, and image comparison through any OpenAI-compatible vision model.

An MCP server providing vision understanding tools (image QA, OCR, video and document understanding) via OpenAI-compatible endpoints, defaulting to Zhipu GLM vision models.

Enables understanding local or network images via ZhipuAI's free vision model (glm-4.6v-flash), returning Chinese descriptions or answers to questions. Supports multiple images for comparison and optional model switching.

A meta-MCP server that aggregates authoritative web search and browser research tools, providing a unified interface with a cost-efficient fetch ladder for web research.

MCP server for MiniMax vision models, enabling image analysis through the OpenAI-compatible chat completions endpoint. Supports local image files and remote URLs, with configurable temperature, max tokens, and adaptive thinking.

Enables Claude Code to analyze images using Zhipu AI's GLM-5V-Turbo vision model, supporting local files and URLs with customizable prompts.

A lightweight MCP server that enables text agents to analyze images and videos using OpenAI-compatible vision models, with tools for image analysis and video frame extraction.

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.

A cloud vision MCP server that enables text-only LLMs like DeepSeek to analyze images via OpenAI-compatible APIs (e.g., SiliconFlow), offering a single analyze_image tool with support for URL/data URLs and automatic model fallback.

Provides AI vision analysis via OpenRouter, enabling image understanding from local paths or URLs. Supports OCR, error diagnosis, and chart/UI analysis using Gemini models.

Enables image analysis using the GLM-4.6V-Flash model, supporting image URLs and local file paths with custom prompts for tasks like OCR and chart analysis.

MCP server for image analysis using Gemini API. It enables analyzing images from local paths or URLs, and provides usage statistics.

Brings Google Gemini 2.0 Flash native image generation capabilities into Claude Code, enabling users to generate, edit, compose, and iteratively refine images using natural language prompts directly from their coding environment.

Enables non-vision LLMs to understand images, extract text via OCR, and parse documents through a unified MCP interface, with local-first processing and optional OpenAI-compatible channels.

Provides image recognition capabilities to MCP clients by integrating with OpenAI-compatible vision models, supporting local images, URLs, multi-image comparison, and model listing.

MCP server that provides visual question answering, image description, object detection, OCR, and image manipulation tools using OpenAI-compatible vision models.