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MCP server · AI

Llms Fetch MCP

High-quality MCP server for fetching and caching web content with smart URL variations and HTML-to-Markdown conversion

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Scored 7 months ago · breakdown

About Llms Fetch MCP

Llms Fetch MCP is an MCP server published by Crazytieguy in the AI category: high-quality MCP server for fetching and caching web content with smart URL variations and HTML-to-Markdown conversion.

The repository has 2 stars and 0 forks, with the last commit 3 days ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/Crazytieguy/llms-fetch-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ✓README presentThe repository ships documentation.

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README

llms-fetch-mcp

MCP server that fetches web content in LLM-friendly formats. Automatically discovers and uses llms.txt files when available, tries Markdown versions, and falls back to clean HTML-to-Markdown conversion.

Quick Start

Add to your MCP client configuration:

Claude Desktop / Claude Code

{
  "mcpServers": {
    "llms-fetch": {
      "command": "npx",
      "args": ["-y", "llms-fetch-mcp"]
    }
  }
}

Cursor IDE

{
  "mcp.servers": {
    "llms-fetch": {
      "command": "npx",
      "args": ["-y", "llms-fetch-mcp"]
    }
  }
}

How It Works

When you fetch a URL, the server tries multiple sources in parallel:

  1. https://example.com/llms-full.txt - Comprehensive LLM documentation
  2. https://example.com/llms.txt - Concise LLM documentation
  3. https://example.com.md - Markdown version
  4. https://example.com/index.md - Directory Markdown
  5. https://example.com - Original URL (converts HTML to Markdown if needed)

Content is cached locally in .llms-fetch-mcp/ for quick access. The server automatically generates a table of contents for cached files to help navigate large documents.

Configuration

Table of Contents Settings

The server intelligently generates a table of contents, selecting heading levels to maximize detail while staying within budget:

  • --toc-budget - Maximum ToC size in bytes (default: 4000)
  • --toc-threshold - Minimum document size in bytes to generate ToC (default: 8000)

With npx:

{
  "mcpServers": {
    "llms-fetch": {
      "command": "npx",
      "args": ["-y", "llms-fetch-mcp", "--toc-budget", "2000", "--toc-threshold", "4000"]
    }
  }
}

With installed binary:

{
  "mcpServers": {
    "llms-fetch": {
      "command": "llms-fetch-mcp",
      "args": ["--toc-budget", "2000", "--toc-threshold", "4000"]
    }
  }
}

Custom Cache Directory

With npx:

{
  "mcpServers": {
    "llms-fetch": {
      "command": "npx",
      "args": ["-y", "llms-fetch-mcp", "/path/to/custom/cache"]
    }
  }
}

With installed binary:

{
  "mcpServers": {
    "llms-fetch": {
      "command": "llms-fetch-mcp",
      "args": ["/path/to/custom/cache"]
    }
  }
}

Why llms.txt?

llms.txt is an emerging standard for websites to provide LLM-optimized documentation. Sites like FastHTML, Anthropic Docs, and others are adopting it. This server automatically discovers and uses these files when available, giving you cleaner, more concise content than HTML scraping.

Installation

If you prefer installing instead of using npx:

Shell (macOS/Linux)

curl --proto '=https' --tlsv1.2 -LsSf https://github.com/Crazytieguy/llms-fetch-mcp/releases/latest/download/llms-fetch-mcp-installer.sh | sh

PowerShell (Windows)

irm https://github.com/Crazytieguy/llms-fetch-mcp/releases/latest/download/llms-fetch-mcp-installer.ps1 | iex

Homebrew

brew install Crazytieguy/tap/llms-fetch-mcp

npm

npm install -g llms-fetch-mcp

Cargo

cargo install llms-fetch-mcp

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Llms Fetch MCP

How do I install Llms Fetch MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Llms Fetch MCP safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Llms Fetch MCP still maintained?

Yes — the last commit was 3 days ago. The repository has 2 stars and 0 forks.