MCP server

Vanshulgoyal101

io.github.vanshulgoyal101/mcp

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

4

Token cost

About 575 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http vanshulgoyal101 https://mcp.vanshul.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.vanshulgoyal101]
url = "https://mcp.vanshul.com/mcp"

Gemini CLI

{"mcpServers":{"vanshulgoyal101":{"httpUrl":"https://mcp.vanshul.com/mcp"}}}

Cursor

{"mcpServers":{"vanshulgoyal101":{"url":"https://mcp.vanshul.com/mcp"}}}

VS Code

{"servers":{"vanshulgoyal101":{"type":"http","url":"https://mcp.vanshul.com/mcp"}}}

Antigravity

agy mcp add vanshulgoyal101 https://mcp.vanshul.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"vanshulgoyal101","server_url":"https://mcp.vanshul.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"vanshulgoyal101","server_url":"https://mcp.vanshul.com/mcp"}

Tools

• extract_links ~114 tokens
  Fetch a web page and return all of its outbound http(s) links (with anchor text) as JSON. Useful for crawling or finding related pages.
• fetch_markdown ~154 tokens
  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.
• fetch_metadata ~86 tokens
  Fetch a web page and return its metadata as JSON: title, byline, site name, excerpt and word count (no full body).
• search_page ~221 tokens
  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.

Browse

• GitHub tools
• Web scraping
• Converting to Markdown
• GitHub and code hosting

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