A MCP server that provides image metadata and related tooling for AI agents. It focuses on metadata inspection without performing image processing or manipulation, exposing tools for URL-based analysis and asset discovery.

🛠️ Key Features

• image_metadata: read image metadata from a URL via HTTP headers (content-type, file size, last-modified, etag, cache info) without downloading the full image
• find_favicons: discover all favicons for a website by checking /favicon.ico, HTML link tags, and manifest.json
• extract_og_image: (excerpt mentions Open Graph, Twitter card, and Apple touch image extraction)

🚀 Use Cases

• Prepare concise image metadata for AI agents and MCP workflows
• Discover website icons and Open Graph assets for better context provisioning
• Integrate image-related metadata extraction into automated agent pipelines

⚡ Developer Benefits

• Clear, metadata-focused MCP server for agent-enabled workflows
• Tool-based endpoints with deterministic outputs
• TypeScript-based implementation aligned with MCP-server concepts

⚠️ Limitations

• No actual image processing or manipulation is performed
• Metadata extraction limited to headers and asset discovery; content not downloaded for analysis
• Scope derived from readmeExcerpt; functionality may evolve with updates