ToolTrace-io/mcp-server
by Various
Web tools for AI agents over MCP: scrape pages to Markdown, extract metadata, links and JSON-LD, run SEO audits, detect tech stacks, check XML sitemaps
MCP
ToolTrace-io/mcp-server
Added 13 Sept 2026
Overview
MCP server that gives AI agents web tools: scrape pages to Markdown, extract metadata, links, and JSON-LD, run SEO audits, detect tech stacks, and check XML sitemaps. Written in TypeScript. Integrates with clients that support the Model Context Protocol.
Best for
Best for
Builders who want a lightweight MCP tool for scraping and SEO checks
Use cases
- Scrape a web page to Markdown for processing
- Extract JSON-LD structured data from a site
- Run an SEO audit or check XML sitemaps
How to use
Install
npm install -g @tooltrace/mcp-server Tools exposed
tooltrace_extracttooltrace_metadatatooltrace_linkstooltrace_schematooltrace_seo_audittooltrace_tech_stacktooltrace_sitemap
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, VS Code
Notes
MCP server that gives AI agents web tools: scrape pages to Markdown, extract metadata, links, and JSON-LD, run SEO audits, detect tech stacks, and check XML sitemaps. Written in TypeScript. Integrates with clients that support the Model Context Protocol.
0 stars on GitHub. Last updated 2026-09-08. Licensed MIT.
Use cases
- Scrape a web page to Markdown for processing
- Extract JSON-LD structured data from a site
- Run an SEO audit or check XML sitemaps
Pros
- Covers multiple common web tasks in one server
- TypeScript codebase
- No extra auth setup indicated
Cons
- Zero stars, so no community adoption evidence
- Limited to the listed web functions
- Requires an MCP-compatible client to use
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Covers multiple common web tasks in one server
- TypeScript codebase
- No extra auth setup indicated
Cons
- Zero stars, so no community adoption evidence
- Limited to the listed web functions
- Requires an MCP-compatible client to use
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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