Web Fetch Mcp Server — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Web Fetch Mcp Server (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A Model Context Protocol (MCP) server that enables LLMs to fetch and process web page contents. This server provides tools for retrieving raw HTML, extracting clean text, and converting web pages to markdown format.
npm installnpm run buildTo use this MCP server with LM Studio, you need to configure it in your MCP settings.
Add the following to your LM Studio MCP configuration file (typically located at ~/.lmstudio/mcp-settings.json or similar):
{
"mcpServers": {
"web-fetch": {
"command": "node",
"args": ["D:\\Projects\\web search mcp\\dist\\index.js"]
}
}
}Adjust the path to match your actual installation directory.
You can also install the server globally or use npx:
npm install -g .Then configure LM Studio to use:
{
"mcpServers": {
"web-fetch": {
"command": "web-fetch-mcp"
}
}
}Fetches the raw HTML content of a webpage.
Input:
url (string, required): The URL of the webpage to fetchExample:
{
"url": "https://example.com"
}Fetches a webpage and extracts clean text content without HTML tags, scripts, or styles.
Input:
url (string, required): The URL of the webpage to fetchExample:
{
"url": "https://example.com"
}Fetches a webpage and converts it to markdown format, preserving structure like headings, links, and lists.
Input:
url (string, required): The URL of the webpage to fetchExample:
{
"url": "https://example.com"
}npm run buildnpm run devnpm startThe server includes comprehensive error handling for:
Errors are returned in a structured format with descriptive messages.
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.