huoshui-fetch

A dedicated web content fetching and conversion MCP (Model Context Protocol) server that provides tools for fetching, converting, and extracting data from web pages.

Features

Fetching Tools

• fetch_url: Fetch content from URLs with customizable timeout, redirect handling, and user-agent
• fetch_with_headers: Fetch URLs with custom headers for authenticated requests

Conversion Tools

• html_to_markdown_tool: Convert HTML to clean Markdown format
• html_to_text_tool: Extract plain text from HTML
• clean_html_tool: Remove scripts/styles and sanitize HTML
• json_to_markdown_tool: Convert JSON data to readable Markdown

Extraction Tools

• extract_article_tool: Extract main article content using readability
• extract_links_tool: Extract all links with filtering options
• extract_metadata_tool: Extract page metadata (title, description, OG tags)
• extract_images_tool: Extract images with size filtering
• extract_structured_data_tool: Extract JSON-LD and microdata

Installation

From MCP Registry (Recommended)

This server is available in the Model Context Protocol Registry. Install it using your MCP client.

mcp-name: io.github.huoshuiai42/huoshui-fetch

# Using uv (recommended)
uv sync

# Or install from GitHub
pip install git+https://github.com/yourusername/huoshui-fetch.git

Usage

Run with uvx (recommended for one-time use)

# From the repository
uvx --from . huoshui-fetch

# From GitHub (once published)
uvx --from git+https://github.com/yourusername/huoshui-fetch.git huoshui-fetch

Run directly

# Using uv
uv run python -m huoshui_fetch

# Or if installed
python -m huoshui_fetch

The server communicates via standard input/output, making it perfect for integration with Claude Desktop and other MCP-compatible clients.

Configuration for Claude Desktop

Add to your Claude Desktop configuration:

{
  "mcpServers": {
    "huoshui-fetch": {
      "command": "uvx",
      "args": ["--no-cache", "--from", ".", "huoshui-fetch"],
      "cwd": "/path/to/huoshui-fetch"
    }
  }
}

Or if installed from GitHub:

{
  "mcpServers": {
    "huoshui-fetch": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/yourusername/huoshui-fetch.git",
        "huoshui-fetch"
      ]
    }
  }
}

Example Usage

Once configured, you can use the tools in Claude Desktop:

// Fetch a webpage
fetch_url("https://example.com")

// Convert HTML to Markdown
html_to_markdown_tool("<h1>Hello</h1><p>World</p>")

// Extract article content
extract_article_tool(html_content, "https://example.com/article")

Requirements

• Python 3.11+
• Dependencies listed in pyproject.toml

Development & Publishing

This project includes comprehensive automation for building and publishing to PyPI.

Automated Publishing Workflow

# Complete automated workflow (TestPyPI + PyPI)
uv run python scripts/publish.py --include-pypi

# TestPyPI only (recommended for testing)
uv run python scripts/publish.py

# Bump version and publish
uv run python scripts/publish.py --version-bump patch --include-pypi

Individual Commands

# Version management
uv run python scripts/version_manager.py --check
uv run python scripts/version_manager.py --bump patch

# Setup PyPI credentials (first time)
uv run python scripts/credentials_setup.py

# Build package
uv run python scripts/build.py

# Run comprehensive tests
uv run python scripts/test.py

# Upload to PyPI
uv run python scripts/upload.py

Features

• ✅ Version Management: Automatic synchronization across all files
• ✅ Quality Checks: Ruff linting and MyPy type checking
• ✅ Build Automation: Clean builds with validation
• ✅ Testing Suite: Comprehensive package and functionality tests
• ✅ Publishing Workflow: TestPyPI → PyPI using uv publish (supports .pypirc files)
• ✅ Error Recovery: Built-in error handling and recovery options

See PUBLISHING.md for detailed documentation.

DXT Extension

This project supports DXT (Desktop Extensions) format for easy distribution and installation.

To build the DXT extension:

python build_dxt.py

This will create a huoshui-fetch-{version}.dxt file that can be installed in compatible AI desktop applications.

License

MIT