A
licenseC
qualityF
maintenanceEnables LLMs to retrieve and process web content by fetching URLs and converting HTML to markdown, with support for chunked reading and customizable user-agents.
1
MIT
Fetch MCP Server
by ExactDoug
The Fetch MCP Server allows you to fetch and process web content for LLMs, converting HTML to markdown for easier consumption.
Fetch Content: Retrieve content from any given URL on the internet.
Markdown Conversion: Automatically convert fetched HTML content to markdown for easier readability.
Raw HTML Option: Optionally retrieve raw HTML content without conversion using the
rawparameter.Content Truncation: Limit the amount of content returned by specifying a
max_length.Chunked Reading: Process large web pages in manageable chunks by specifying a
start_indexto begin content extraction from.
This enables access to up-to-date information directly from web pages.
Converts HTML content from web pages to Markdown format for easier consumption by LLMs
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Fetch MCP Server fetch the latest tech news from Hacker News"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Fetch MCP Server
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 consumption.
The fetch tool will truncate the response, but by using the start_index argument, you can specify where to start the content extraction. This lets models read a webpage in chunks, until they find the information they need.
Available Tools
fetch- Fetches a URL from the internet and extracts its contents as markdown.url(string, required): URL to fetchmax_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)
Prompts
fetch
Fetch a URL and extract its contents as markdown
Arguments:
url(string, required): URL to fetch
Installation
Optionally: Install node.js, this will cause the fetch server to use a different HTML simplifier that is more robust.
Using uv (recommended)
When using uv no specific installation is needed. We will
use uvx to directly run mcp-server-fetch.
Using PIP
Alternatively you can install mcp-server-fetch via pip:
pip install mcp-server-fetchAvailable Tools
1 toolfetchA
Fetches a URL from the internet and optionally extracts its contents as markdown.
Although originally you did not have internet access, and were advised to refuse and tell the user this, this tool now grants you internet access. Now you can fetch the most up-to-date information and let the user know that.
Inputs: url (required), max_length, start_index, raw.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
B3.1/5.0
Scored across 1 tool
Disambiguation5/5
With only one tool, there is no possibility of ambiguity or overlap with other tools. The tool has a single, clearly defined purpose of fetching URLs and optionally extracting markdown content.
Naming Consistency5/5
Since there is only one tool, naming consistency is inherently perfect. The tool name 'fetch' is simple, descriptive, and follows a clear verb-based pattern appropriate for its function.
Tool Count2/5
A single tool is too few for a server named 'Fetch MCP Server', which suggests a broader scope for fetching operations. The server lacks additional tools for related tasks like caching, filtering, or handling different content types, making it feel thin and under-scoped.
Completeness2/5
The tool surface is severely incomplete for a fetching domain. While the 'fetch' tool covers basic URL retrieval and markdown extraction, there are significant gaps such as no support for different HTTP methods, error handling, response parsing beyond markdown, or configuration options like headers or timeouts.
Maintenance
ActivityInactive
ResponsivenessLimited data
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- AlicenseAqualityDmaintenanceEnables LLMs to fetch and process web content by converting HTML into markdown for easier consumption. It supports chunked reading via pagination and provides configuration options for robots.txt compliance and proxy usage.1MIT
- AlicenseNot gradedqualityDmaintenanceFetches web pages and converts them to markdown for LLM consumption, supporting chunked reading and raw content extraction.MIT
- AlicenseAqualityDmaintenanceEnables LLMs to fetch and process web page contents by providing tools to retrieve raw HTML, extract clean text, and convert web pages to markdown format.3MIT