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Evidence-first image MCP. Agent Media Twin with metadata and citeable OCR evidence.
Evidence-first image MCP. Agent Media Twin with metadata and citeable OCR evidence.
Valid MCP server (2 strong, 2 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry. Trust signals: 3 highly-trusted packages.
13 files analyzed · 1 issue found
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Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-sylphxai-image-reader-mcp": {
"args": [
"-y",
"@sylphx/image-reader-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
Evidence-first image reading for AI agents — metadata, OCR text, regions, and citeable evidence without generative LLM.
Status: v0.1.0 shipped — read_image MCP tool available (metadata, dimensions, optional OCR, trust warnings).
Orchestrated by smart-reader-mcp — portfolio ADR lives there, not in pdf-reader-mcp.
| Repository | Role |
|---|---|
| pdf-reader-mcp | PDF (production) |
| image-reader-mcp (this repo) | Image |
| video-reader-mcp | Video |
| smart-reader-mcp | Unified read + delegate |
Read (this repo): extract facts, metadata, transcripts, regions, and timelines with provenance — no generative LLM required.
Interpret (out of scope): summarize, classify, or answer open questions — belongs in the agent or an optional remote provider adapter.
Primary tool: read_image — returns an Agent Media Twin JSON payload with filename, mime, dimensions, metadata (GPS redacted), optional OCR lines with bounding boxes, and trust warnings.
npx @sylphx/image-reader-mcp
MIT © SylphxAI
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