Fetch with Images
This MCP server, developed by kazuph, enables web content fetching and image processing capabilities for AI assistants. It integrates with libraries like jsdom, Readability, and Sharp to extract readable content from web pages, convert HTML to Markdown, and process images for optimal viewing. The implementation handles robots.txt restrictions, merges multiple images vertically with size limits, and uses macOS clipboard operations for seamless image insertion. It's designed for scenarios requiring web scraping, content summarization, or image handling within AI conversations, allowing assistants to fetch and process web content on demand while respecting web standards and optimizing for readability.
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
- media
- Source
- PulseMCP
- Repository
- github.com/kazuph/mcp-fetch
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Fetch with 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.