An MCP server that provides tools for fetching, converting, and extracting data from web pages.
{
"mcpServers": {
"io-github-huoshuiai42-huoshui-fetch": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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An MCP server that provides tools for fetching, converting, and extracting data from web pages.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 211 days ago.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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A dedicated web content fetching and conversion MCP (Model Context Protocol) server that provides tools for fetching, converting, and extracting data from web pages.
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
# From the repository
uvx --from . huoshui-fetch
# From GitHub (once published)
uvx --from git+https://github.com/yourusername/huoshui-fetch.git huoshui-fetch
# 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.
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"
]
}
}
}
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")
This project includes comprehensive automation for building and publishing to PyPI.
# 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
# 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
uv publish (supports .pypirc files)