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- exif-mcp
Exif Mcp
What is Exif Mcp
exif-mcp is an MCP server designed to extract image metadata such as EXIF, XMP, and more, entirely offline. It utilizes the exifr library for fast and efficient metadata parsing without relying on external tools.
Use cases
Use cases include analyzing and visualizing image metadata, assessing camera usage and lens distribution, determining the most active photography days, and debugging image manipulation code.
How to use
To use exif-mcp, clone the repository, install dependencies, and build the project. Configure it in your application (e.g., Claude) by adding the server command in the config file and restart the application to start inspecting images.
Key features
Key features include local operation without network requirements, support for multiple metadata segments (EXIF, GPS, XMP, etc.), compatibility with various image formats (JPEG, PNG, TIFF, HEIC), and flexible image sources (file system, URLs, base64 data).
Where to use
exif-mcp can be used in fields such as digital photography, image processing, and software development, particularly for applications that require metadata analysis and debugging.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Exif Mcp
exif-mcp is an MCP server designed to extract image metadata such as EXIF, XMP, and more, entirely offline. It utilizes the exifr library for fast and efficient metadata parsing without relying on external tools.
Use cases
Use cases include analyzing and visualizing image metadata, assessing camera usage and lens distribution, determining the most active photography days, and debugging image manipulation code.
How to use
To use exif-mcp, clone the repository, install dependencies, and build the project. Configure it in your application (e.g., Claude) by adding the server command in the config file and restart the application to start inspecting images.
Key features
Key features include local operation without network requirements, support for multiple metadata segments (EXIF, GPS, XMP, etc.), compatibility with various image formats (JPEG, PNG, TIFF, HEIC), and flexible image sources (file system, URLs, base64 data).
Where to use
exif-mcp can be used in fields such as digital photography, image processing, and software development, particularly for applications that require metadata analysis and debugging.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
exif-mcp
An MCP server that allows LLMs (or humans) to read image metadata on-demand, entirely offline. Based on the excellent exifr library it’s exremely fast and does not rely on any external tools.
Usecases:
- Analyze image metadata and visualize it
- Perform analysis of your image library: what are my most used cameras? Lens distribution? Which dates of the week I take most pictures on? Most favorite locations?
- Debugging image manipulation code.
Ths tool is used extensively by the reverse geolocation service PlaceSpotter for development and testing.
Overview
exif-mcp is a Model Context Protocol (MCP) server that provides tools for extracting various metadata segments from images. Built with TypeScript, it leverages the excellent exifr library to parse metadata from images in common formats like JPEG, PNG, TIFF, and HEIC. This allows this service to parse image metadata without executing any external tools which allows it to be both highly efficient and secure.
Features
- Local operation: Works completely offline with no remote network required
- Multiple segments: Extracts EXIF, GPS, XMP, ICC, IPTC, JFIF, and IHDR metadata
- Various input formats: Supports JPEG, TIFF, HEIC/AVIF, and PNG
- Flexible image sources: Read from file system, URLs, base64 data, or buffers
- Specialized tools: Get orientation, rotation info, GPS coordinates, and thumbnails
Installation
# Clone the repository git clone https://github.com/stass/exif-mcp.git cd exif-mcp # Install dependencies npm install # Build the project npm run build
Usage
Claude Desktop
Put this into Claude config file (claude_desktop_config.json):
Restart Claude. Now you can ask Claude to inspect images for you or e.g. find files taken with specific camera. This works best in combination with filesystem MCP tools so Claude can find files and list directories.
Starting the server
# Start the server npm start # For development with auto-reload npm run dev
The server uses the StdioServerTransport from the MCP SDK, making it compatible with any MCP client that supports STDIO transport.
You can use mcp-proxy to enable remote access.
Available Tools
The following tools are provided by the server:
| Tool name | Description |
|---|---|
read-metadata |
Reads all or specified metadata segments |
read-exif |
Reads EXIF data specifically |
read-xmp |
Reads XMP data |
read-icc |
Reads ICC color profile data |
read-iptc |
Reads IPTC metadata |
read-jfif |
Reads JFIF segment data |
read-ihdr |
Reads IHDR segment data |
orientation |
Gets image orientation (1-8) |
rotation-info |
Gets rotation and flip information |
gps-coordinates |
Extracts GPS coordinates |
thumbnail |
Extracts embedded thumbnail |
Debugging with MCP Inspector
- Start the inspector:
npx @modelcontextprotocol/inspector node dist/server.js - Connect to it with MCP Inspector using the STDIO transport
- Call a tool, e.g.,
read-metadatawith parameter:{ "image": { "kind": "path", "path": "/path/to/image.jpg" } } - You cal also use MCP inspector command line like this:
npx @modelcontextprotocol/inspector --cli node dist/server.js --method tools/call --tool-name read-exif --tool-arg image='{"kind": "path", "path": "/path/to/image.jpeg"}' --tool-arg pick="[]"
Image Source Types
The server supports multiple ways to provide image data:
// From local file system
{
"kind": "path",
"path": "/path/to/image.jpg"
}
// From URL (http, https, or file://)
{
"kind": "url",
"url": "https://example.com/image.jpg"
}
// From base64 data (raw or data URI)
{
"kind": "base64",
"data": "data:image/jpeg;base64,/9j/4AAQSkZ..."
}
// From base64 buffer
{
"kind": "buffer",
"buffer": "/9j/4AAQSkZ..."
}
Development
Running Tests
# Run tests
npm test
# Run tests with watch mode
npm run test:watch
Project Structure
exif-mcp/ ├── src/ │ ├── server.ts # Main entry point │ ├── tools/ │ │ ├── index.ts # Tool registration │ │ ├── loaders.ts # Image loading utilities │ │ └── segments.ts # exifr options builders │ └── types/ │ └── image.ts # Type definitions ├── tests/ # Test files └── README.md
Error Handling
The server provides standardized error handling for common issues:
- Unsupported formats or missing metadata
- Network fetch failures
- Oversized payloads
- Internal exifr errors
License
BSD 2-clause
Acknowledgements
- exifr - Extremely fast and robust EXIF parsing library
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










