Image Extractor
MCP Image Extractor is a server that enables AI models to process and analyze images by extracting them from URLs or base64-encoded data. It provides three main tools: extract_image_from_url for retrieving images from web sources, extract_image_from_base64 for processing already encoded images, and save_screenshot for storing images to disk. Built with TypeScript and using the Sharp library for image processing, it includes features like image resizing, format conversion, and domain filtering for security. The implementation can be deployed locally or via Docker, making it ideal for workflows where visual content analysis is needed within AI conversations.
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
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/ifmelate/mcp-image-extractor
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Image Extractor 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.