Hybrid Vision MCP Server

by sameersemna · ai-ml · mcp-server, glama

Medium setupBest for experimentalTrust score 15/100

Bridges local vision engines (Tesseract.js OCR and Sharp preprocessing) with Ollama vision models for image analysis, comparison, text localization, and browser screenshot annotation over MCP-compliant HTTP/SSE transports.

Source: https://github.com/sameersemna/hybrid-vision-mcp

Install

git clone https://github.com/sameersemna/hybrid-vision-mcp

Use this forAI-extracted

  • Process and analyze images using hybrid vision models through MCP protocol
  • Integrate multi-modal vision capabilities into Claude-based AI agents
  • Extract visual information from images for document analysis and OCR tasks

Works with

Claude CodeClaude Desktop

Tags: mcp-server, glama

Source: glama

About ai-ml MCP servers and Claude skills

ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

Hybrid Vision MCP Server is one of hundreds of ai-ml entries indexed on Skiln. Browse the full ai-ml category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.

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Frequently asked questions

How do I install Hybrid Vision MCP Server?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support Hybrid Vision MCP Server?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is Hybrid Vision MCP Server free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.