Fetch MCP Server
Fetch MCP servers enable AI models to retrieve and process content from web pages, converting HTML to markdown for easier consumption.
Overview
The MCP Fetch Server provides web content fetching capabilities, enabling LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption. It supports chunked reading of web pages.
Official Server:
Developed and maintained by Anthropic
Key Features
Web Content Fetching
Retrieve content from any URL on the internet
HTML to Markdown Conversion
Automatically convert fetched HTML content into readable Markdown
Chunked Reading
Read web pages in manageable chunks, allowing models to process large documents incrementally
Customization Options
Configure user-agent, proxy settings, and robots.txt obedience
Available Tools
Quick Reference
| Tool | Purpose | Category |
|---|---|---|
fetch | Fetch URL content | Read |
Detailed Usage
fetch▶
Fetches a URL from the internet and extracts its contents as markdown.
use_mcp_tool({
server_name: "fetch",
tool_name: "fetch",
arguments: {
url: "https://example.com",
max_length: 5000,
start_index: 0,
raw: false
}
});
Returns the fetched content, optionally converted to Markdown.
Installation
{
"mcpServers": {
"fetch": {
"command": "uvx",
"args": [
"mcp-server-fetch"
]
}
}
}
Common Use Cases
1. Summarizing Web Pages
Fetch web content and have an LLM summarize it for quick insights:
// Fetch a news article and summarize it
use_mcp_tool({
server_name: "fetch",
tool_name: "fetch",
arguments: {
url: "https://example.com/news-article",
max_length: 1000
}
});
2. Extracting Specific Information
Extract data points from web pages, such as product details or contact information:
// Extract product price from an e-commerce page
use_mcp_tool({
server_name: "fetch",
tool_name: "fetch",
arguments: {
url: "https://example.com/product/123",
// LLM would then parse the markdown to find the price
}
});
3. Monitoring Websites
Periodically fetch content to detect changes or updates on a website:
// Monitor a competitor's pricing page
use_mcp_tool({
server_name: "fetch",
tool_name: "fetch",
arguments: {
url: "https://competitor.com/pricing"
}
});
Connection String Format
Not applicable, as the Fetch MCP Server retrieves content from URLs rather than connecting to a database.
Sources
Related Articles
ServiceNow MCP Server
ServiceNow MCP server enables AI models to interact with ServiceNow instances, providing capabilities for IT service management, incident tracking, workflow automation, and knowledge base management through natural language.
Ethereum RPC MCP Server
A TypeScript MCP server that exposes the full Ethereum JSON-RPC surface, enabling AI assistants to query on-chain data, inspect contracts, and retrieve transaction details across EVM networks. Includes optional analytics and Zircuit-specific SLS methods.
Terraform MCP Server
Manage infrastructure as code with Terraform through your AI assistant - plan, apply, and inspect infrastructure resources.