📡 MCP Radar

KuaaMU/mcp-vision-bridge

MCP server that gives text-only LLM coding agents vision — analyze images via any multimodal model (mimo, Claude, Gemini, OpenAI-compatible). Works with Claude Code, Codex, Kimi, opencode, PI.

10 stars
1 forks
TypeScript
momentum ▲ 22.0
created 2026-08-05
on radar since 2026-08-06
star trend 7 → 10 since 2026-08-06
claude-codecodeximage-analysisllm-agentmcpmcp-servermodel-context-protocolmultimodalocropencodevision
View on GitHub ↗

About mcp-vision-bridge

DeepSeek V4 Flash writes great code — but it can't see the error dialog, the broken UI, or the screenshot you just pasted. This MCP server gives any text-only agent vision by routing images through a multimodal model of your choice.

Works with Claude Code · Codex · opencode · Kimi · PI · Cursor and any MCP client.

Your agent can't see. You paste a screenshot → "I can't see images." You transcribe the error by hand. With this, the agent calls one tool and gets a complete text description — verbatim text, layout, colors, anomalies — and can debug, fix, and explain.

Not a vision model. It's a bridge: it sends your image to a multimodal model you already pay for (mimo, Claude, Gemini, GPT-4o, Qwen-VL…) and returns a detailed description. No images ever enter your agent's context.

🚀 Install (pick your agent — that's the whole setup)

That's it — the plugin bundles the MCP server + vision skill + auto-loop hook. Claude Code will prompt you for your vision endpoint, API key, and model once.

Prefer to manage it in cc-switch (see it + sync to Codex/opencode/Gemini)? Use the installer below instead.

Codex / Reasonix / opencode / Kimi / anything else (one command)

./install.sh claude reasonix codex opencode kimi if it doesn't auto-detect. You'll be asked for three values: endpoint, key, model.

Reasonix reads the same .mcp.json as Claude Code, so ./install.sh reasonix (or a manual .mcp.json with the vision server) works — pasted images land in .reasonix/attachments/ and image="recent" finds them.

From the project README.

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