Web Content Extractor
This MCP server for web content scanning and analysis, developed using TypeScript, provides tools for extracting and processing web page content. It leverages libraries like Cheerio for HTML parsing and Turndown for HTML-to-Markdown conversion, offering capabilities to fetch, analyze, and transform web content. The implementation is designed to integrate seamlessly with AI-assisted workflows, enabling tasks such as web scraping, content summarization, and data extraction. It's particularly useful for researchers, content creators, and developers who need to automate web content analysis, generate structured data from websites, or incorporate web-based information into their AI applications.
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
- productivity
- Source
- PulseMCP
- Repository
- github.com/bsmi021/mcp-server-webscan
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Web Content Extractor 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.