EXIF Metadata
The exif-mcp server enables LLMs to extract and analyze image metadata offline using the exifr library. Built by Stanislav Sedov, this TypeScript implementation provides tools for reading various metadata segments (EXIF, GPS, XMP, ICC, IPTC, JFIF, IHDR) from common image formats like JPEG, PNG, TIFF, and HEIC. The server supports multiple image source types including file paths, URLs, base64 data, and buffers, while offering specialized tools for extracting orientation information, rotation details, GPS coordinates, and embedded thumbnails. This implementation is particularly valuable for analyzing image libraries, visualizing metadata patterns, and debugging image manipulation code without relying on external tools or network connections.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/stass/exif-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve EXIF Metadata from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.