Image Recognition
Analyzes images from local files or remote URLs using OpenAI-compatible vision models including OpenAI, LM Studio, and Ollama. Features comprehensive security controls with path validation to prevent directory traversal attacks, configurable domain restrictions for remote URLs, and file type filtering for common image formats (JPEG, PNG, GIF, WebP). Includes base64 encoding for local files and custom prompt support for tailored image analysis. Useful for automated image analysis workflows, content moderation systems, and assistants that need to process visual content from various sources while maintaining security boundaries.
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/akirose/image-recognition-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Image Recognition 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.