stass/exif-mcp
by Various
MCP server to extract image metadata (EXIF, XMP, etc)
MCP
stass/exif-mcp
Added 1 June 2026
Overview
An MCP server that extracts image metadata including EXIF and XMP fields. It exposes a tool interface for reading metadata from image files, designed for integration into MCP-compatible workflows.
Best for
Best for
Developers who need to extract image metadata within MCP-based automation or AI toolchains
Use cases
- Extract EXIF data from photos for automated tagging or analysis
- Read XMP metadata for digital asset management pipelines
- Integrate image metadata extraction into AI agent or assistant tools
How to use
Install
npm install Tools exposed
read-metadataread-exifread-xmpread-iccread-iptcread-jfifread-ihdrorientationrotation-infogps-coordinatesthumbnail
Tested with
Claude Desktop
Example client config
{\n "mcpServers": {\n "exif-mcp": {\n "command": "node",\n "args": [\n "/path/to/exif-mcp/dist/server.js"\n ]\n }\n }\n} Notes
An MCP server that extracts image metadata including EXIF and XMP fields. It exposes a tool interface for reading metadata from image files, designed for integration into MCP-compatible workflows.
36 stars on GitHub. Last updated 2025-11-14. Licensed BSD-2-Clause.
Use cases
- Extract EXIF data from photos for automated tagging or analysis
- Read XMP metadata for digital asset management pipelines
- Integrate image metadata extraction into AI agent or assistant tools
Pros
- Open source with a focused, single-purpose design
- Written in TypeScript for type safety and maintainability
- Lightweight MCP server that is easy to deploy locally
Cons
- Small community and limited stars (36) indicate early-stage adoption
- Only handles metadata extraction, no image processing or editing
- Requires local setup and MCP-compatible client to use
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open source with a focused, single-purpose design
- Written in TypeScript for type safety and maintainability
- Lightweight MCP server that is easy to deploy locally
Cons
- Small community and limited stars (36) indicate early-stage adoption
- Only handles metadata extraction, no image processing or editing
- Requires local setup and MCP-compatible client to use
Pairs with
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