Web Content Pick
MCP Web Content Pick is a server implementation that extracts structured content from web pages using customizable selectors. Developed by kilicmu, it leverages the web-structure library to crawl websites and parse HTML elements like headings, paragraphs, and lists. The tool supports recursive crawling with configurable depth limits, custom selector definitions, and error handling options. This implementation is particularly valuable for content analysis, web scraping, and generating structured representations of web pages without leaving the AI assistant interface.
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
- browser-automation
- Source
- PulseMCP
- Repository
- github.com/kilicmu/mcp-web-content-pick
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Web Content Pick 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.