Read Images
This MCP server, developed by CatalystNeuro, provides image analysis capabilities using OpenRouter's vision models, particularly Claude-3 variants. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a streamlined interface for AI agents to analyze images through natural language queries. The implementation focuses on ease of use and flexibility, with features like automatic image optimization, configurable model selection, and detailed error handling. It's particularly useful for developers and researchers working with visual data, enabling use cases such as content moderation, data extraction from images, and automated image captioning without directly interacting with the OpenRouter API.
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/catalystneuro/mcp_read_images
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Read Images 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.