MCP server

Web Content Extract Mcp

io.github.varvararatta/web_content_extract_mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Web Content Extract Mcp connects AI agents to real public APIs via MCP. Tools include

Working at last checkAbout 419 tokens per request once connected5 tools

Source

https://web-content-extract-mcp.mcpize.run/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 5
Token cost: About 419 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS 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 web-content-extract-mcp https://web-content-extract-mcp.mcpize.run/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.web-content-extract-mcp]
url = "https://web-content-extract-mcp.mcpize.run/mcp"

Gemini CLI

{"mcpServers":{"web-content-extract-mcp":{"httpUrl":"https://web-content-extract-mcp.mcpize.run/mcp"}}}

Cursor

{"mcpServers":{"web-content-extract-mcp":{"url":"https://web-content-extract-mcp.mcpize.run/mcp"}}}

VS Code

{"servers":{"web-content-extract-mcp":{"type":"http","url":"https://web-content-extract-mcp.mcpize.run/mcp"}}}

Antigravity

agy mcp add web-content-extract-mcp https://web-content-extract-mcp.mcpize.run/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":"web-content-extract-mcp","server_url":"https://web-content-extract-mcp.mcpize.run/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"web-content-extract-mcp","server_url":"https://web-content-extract-mcp.mcpize.run/mcp"}

Tools

extract_article ~83 tokens
Extract main article content from a news/blog URL. Returns: {title, description, body, author, date}
fetch_url_content Browses the web · ~101 tokens
Fetch and extract clean text content from a public URL. Returns: {title, text, url, word_count}
get_page_links ~101 tokens
Extract all links from a page. Returns: {links: [href], internal_count, external_count}
get_page_metadata ~93 tokens
Get metadata from a page: title, description, og tags, keywords. Returns: {title, description, keywords, og_title, og_image, og_type}

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