FetchV2 MCP server

FetchV2 MCP Server

<!-- mcp-name: io.github.praveenc/fetchv2-mcp-server -->

FetchV2 is a Model Context Protocol (MCP) server that retrieves web pages and returns clean Markdown. It uses Trafilatura to remove navigation, advertisements, footers, and other page elements.

What it does

FetchV2 can return raw HTML, preserve links and tables, and paginate long content. The fetch tool checks robots.txt by default.

Quick start

Requirements

1. Install uv.
2. Install Python 3.11 or newer:

uv python install 3.11

Install for Cursor or VS Code

Configure another MCP client

Add this server definition to your MCP client configuration:

{
  "mcpServers": {
    "fetchv2": {
      "command": "uvx",
      "args": ["fetchv2-mcp-server@latest"]
    }
  }
}

Common configuration file locations:

• Claude Desktop on macOS: ~/Library/Application Support/Claude/claudedesktopconfig.json
• Claude Desktop on Windows: %APPDATA%\Claude\claudedesktopconfig.json
• Windsurf: ~/.codeium/windsurf/mcp_config.json
• Kiro: .kiro/settings/mcp.json in your project

Install in a Python environment

Use one of these commands if you want to install the package directly:

uv add fetchv2-mcp-server

pip install fetchv2-mcp-server

Try it

Ask your MCP client to perform a task such as:

• "Fetch the documentation from ."
• "Find links on that contain tutorial."
• "Read these pages and summarize their differences: [url1, url2, url3]."

Typical documentation workflow

First, find the relevant pages:

discover_links(url="https://docs.example.com/", filter_pattern="/guide/")

Then fetch the selected pages in one request:

fetch_batch(
    urls=[
        "https://docs.example.com/guide/intro",
        "https://docs.example.com/guide/setup",
    ]
)

Tool reference

fetch

Fetch one web page and extract its main content as Markdown.

fetch(
    url: str,
    max_length: int = 5000,
    start_index: int = 0,
    get_raw_html: bool = False,
    include_metadata: bool = True,
    include_tables: bool = True,
    include_links: bool = False,
    bypass_robots_txt: bool = False,
) -> str

Shortened. The full README is on GitHub.