A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier…
Fetch MCP Server with CSS selectors function is an MCP project maintained in the burnworks/burnworks-mcp-server-fetch repository. The maintainer describes its purpose as “A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML…”. Read the project documentation for the complete scope.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| custom-fetch | Fetches a URL from the internet and extracts its contents as markdown. |
| url | string, required): URL to fetch |
| max_length | integer, optional): Maximum number of characters to return (default: 5000) |
| start_index | integer, optional): Start content from this character index (default: 0) |
| raw | boolean, optional): Get raw content without markdown conversion (default: false) |
| selector | string, optional): CSS selector, ID, or element name to extract specific content |
| selector_type | string, optional): Type of selector: 'css', 'id', or 'element' |
Retrieve public web pages as readable Markdown with the reference Fetch MCP server, including pagination for longer responses.
Use Firecrawl MCP to retrieve website content and extract information for research through Firecrawl’s API-backed web tools.
Google search for agents: web, news, images, places, shopping, Scholar. Paid per call over x402.
An MCP server that provides web search capabilities using Perplexity's API.
44 tools for AI agents: Trends, SERP, SEO audits, screenshots, weather, FX, whois, RSS.
Integrates security testing and penetration testing tools into AI workflows via the Model Context Protocol.