MetaTag Genie
MetaTag Genie is an MCP server that enables AI assistants to write metadata to image files through a TypeScript implementation. The server provides tools for handling various image formats including HEIC and PNG, with a core metadata writer that maps standardized fields to format-specific tags. It features graceful shutdown handling, comprehensive error management, and a testing strategy that includes unit, integration, and end-to-end verification. The implementation is particularly valuable for users who need to automate image metadata tagging, organize photo collections, or ensure proper attribution and copyright information is embedded directly within image files without switching contexts.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · 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/terryso/meta_tag_genie
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve MetaTag Genie 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.