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Read any web page as clean Markdown for AI agents: fetch, search, metadata, links. SSRF-safe.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-06-18
URL
Repository
vanshulgoyal101/mcp
GitHub Stars
1
Server Listing
mcp.vanshul.com
ChatGPT
–
Claude
–

TDQS

A4.3/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a clear, distinct purpose: extract_links returns outbound links, fetch_markdown returns content as Markdown, fetch_metadata returns page metadata, and search_page returns query-relevant passages. There is no overlap in their outputs or use cases.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (extract_links, fetch_markdown, fetch_metadata, search_page), making the set predictable and easy to navigate.

Tool Count5/5

With 4 tools, the server is well-scoped for its purpose of web page extraction. Each tool addresses a distinct need (link crawling, content reading, metadata lookup, targeted search) without redundancy.

Completeness4/5

The tool set covers the primary ways to consume a web page—full content, links, metadata, and targeted search. A raw HTML fetch tool is missing, but fetch_markdown's handling of raw formats and JSON endpoints mitigates this gap for most use cases.

Available Tools

4 tools
fetch_markdownAInspect

Fetch a web page and return its main content as clean Markdown (nav, ads and boilerplate removed). Raw Markdown, plain-text and JSON endpoints are returned as-is. Use this to read an article, docs page or raw file.

Inputs: url (required), max_chars.

fetch_metadataAInspect

Fetch a web page and return its metadata as JSON: title, byline, site name, excerpt and word count (no full body).

Inputs: url (required).

search_pageAInspect

Fetch a web page and return only the passages that match a query, instead of the whole page. Each result includes its heading breadcrumb and is ranked by relevance. Use this to find a specific detail (e.g. pricing, a config option) while spending far fewer tokens than fetch_markdown.

Inputs: url (required), query (required), max_matches, context_chars.

Tool Schema Changelog

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