Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"huoshui-fetch": {
"cwd": "/path/to/huoshui-fetch",
"args": [
"--no-cache",
"--from",
".",
"huoshui-fetch"
],
"command": "uvx"
}
}
}Are you the author?
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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.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'git' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked git against OSV.dev.
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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)