📦
Webreadmcp
Read internet pages and query search engine
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Installation
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Documentation
WebRead MCP
A Model Context Protocol (MCP) server that enables AI assistants to read webpages and perform web searches.
Tools
read_webpage
Fetches a webpage via GET request and returns its text content.
Parameters:
url(required) - The URL to fetchmax_chars(optional, default: 500) - Maximum characters to returnoffset(optional, default: 0) - Starting character position for chunked readingraw_html(optional, default: false) - Return raw HTML instead of extracted text
Example:
{
"url": "https://example.com",
"max_chars": 1000,
"offset": 0
}
web_search
Performs a web search using DuckDuckGo and returns titles with links.
Parameters:
query(required) - The search querypage(optional, default: 1) - Page number (1-based)
Example:
{
"query": "python tutorial",
"page": 1
}
Installation
From PyPI
pip install webread-mcp
From Source
git clone <repository-url>
cd webreadmcp
pip install -e .
Configuration
Add the server to your MCP client configuration:
If installed via pip
{
"mcpServers": {
"webread": {
"command": "python",
"args": ["-m", "webread_mcp"]
}
}
}
Running Manually
python -m webread_mcp
The server communicates via stdio and will wait for MCP protocol messages.
Custom CA Bundle
{
"mcpServers": {
"webread": {
"command": "python",
"args": ["-m", "webread_mcp"],
"env": {
"SSL_CERT_FILE": "/path/to/corporate-ca-bundle.crt"
}
}
}
}
Disable SSL Verification (Not Recommended)
{
"mcpServers": {
"webread": {
"command": "python",
"args": ["-m", "webread_mcp"],
"env": {
"WEBREAD_VERIFY_SSL": "false"
}
}
}
}
Dependencies
mcp- Model Context Protocol SDKhttpx- HTTP clientbeautifulsoup4- HTML parsingduckduckgo_search- Web search
