OpenRouter Image Analysis
OpenRouter Image MCP provides advanced image analysis capabilities through OpenRouter's vision models, supporting multiple input formats including base64, file paths, and URLs. Built by JonathanJude using TypeScript and the MCP SDK, it offers three specialized tools: general image analysis, webpage screenshot analysis with focus areas like layout and accessibility, and mobile app screenshot analysis with platform-specific evaluation against iOS/Android design guidelines. The implementation includes robust error handling with timeouts, image validation and processing with Sharp, comprehensive logging, and structured JSON output options, making it valuable for UI/UX analysis, accessibility auditing, design review workflows, and any use case requiring detailed visual content understanding through state-of-the-art vision models.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/jonathanjude/openrouter-image-mcp
- Author type
- human
- Updated
- 2026-04-30
Use via MCP
Resolve OpenRouter Image Analysis 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.