MCP Fetch With Proxy
The MCP Fetch With Proxy server allows you to fetch and process web content with customizable proxy settings.
Capabilities:
Fetch Web Content: Retrieves URLs from the internet and extracts their content as markdown
Handle Images: Extracts and includes image URLs found in the article content
Proxy Support: Routes requests through a custom HTTP proxy using environment variables (
http_proxy,https_proxy, orMCP_HTTP_PROXY)Configurable Parameters: Supports optional parameters like
raw(for raw content),maxLength(for content length limits), andstartIndex(for content slicing)Integration with Claude Desktop: Easily integrates as a tool for fetching and displaying web content
Click on "Install 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., "@MCP Fetch With Proxyfetch 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.
MCP Fetch
Model Context Protocol server for fetching web content with custom http proxy. This allows Claude Desktop (or any MCP client) to fetch web content and handle images appropriately.
This repository forks from the @smithery/mcp-fetch and replaces the node-fetch implementation with the library node-fetch-native.
The server will use the http_proxy and https_proxy environment variables to route requests through the proxy server by default if they are set.
You also can set the MCP_HTTP_PROXY environment variable to use a different proxy server.
Available Tools
fetch: Retrieves URLs from the Internet and extracts their content as markdown. If images are found, their URLs will be included in the response.
Image Processing Specifications:
Only extract image urls from the article content, and append them to the tool result:
{
"params": {
"url": "https://www.example.com/articles/123"
},
"response": {
"content": [
{
"type": "text",
"text": "Contents of https://www.example.com/articles/123:\nHere is the article content\n\nImages found in article:\n- https://www.example.com/1.jpg.webp\n- https://www.example.com/2.jpg.webp\n- https://www.example.com/3.webp"
}
]
}
}Related MCP server: crawl4ai-mcp
Quick Start (For Users)
To use this tool with Claude Desktop, simply add the following to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"tools": {
"fetch": {
"command": "npx",
"args": ["-y", "@kwp-lab/mcp-fetch"],
"env": {
"MCP_HTTP_PROXY": "https://example.com:10890" // Optional, remove if not needed
}
}
}
}This will automatically download and run the latest version of the tool when needed.
Required Setup
Enable Accessibility for Claude:
Open System Settings
Go to Privacy & Security > Accessibility
Click the "+" button
Add Claude from your Applications folder
Turn ON the toggle for Claude
For Developers
The following sections are for those who want to develop or modify the tool.
Prerequisites
Node.js 18+
Claude Desktop (install from https://claude.ai/desktop)
tsx (install via
npm install -g tsx)
Installation
Installing via Smithery
To install MCP Fetch for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @kwp-lab/mcp-fetch --client claudeManual Installation
git clone https://github.com/kwp-lab/mcp-fetch.git
cd mcp-fetch
npm install
npm run buildConfiguration
Make sure Claude Desktop is installed and running.
Install tsx globally if you haven't:
npm install -g tsx # or pnpm add -g tsxModify your Claude Desktop config located at:
~/Library/Application Support/Claude/claude_desktop_config.json
You can easily find this through the Claude Desktop menu:
Open Claude Desktop
Click Claude on the Mac menu bar
Click "Settings"
Click "Developer"
Add the following to your MCP client's configuration:
{
"tools": {
"fetch": {
"args": ["tsx", "/path/to/mcp-fetch/index.ts"]
}
}
}Available Tools
1 toolfetchA
Retrieves URLs from the Internet and extracts their content as markdown. If images are found, their URLs will be included in the response.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| maxLength | No | ||
| startIndex | No | ||
| raw | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions content extraction and image URL inclusion, but doesn't cover important aspects like error handling (e.g., invalid URLs, network failures), rate limits, authentication needs, privacy implications, or what happens when maxLength is exceeded. The description is insufficient for a tool that interacts with external resources.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is perfectly concise with two clear sentences that each add value. The first sentence establishes the primary function, and the second adds important behavioral detail about image handling. No wasted words or redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 4 parameters, no annotations, and no output schema, the description provides adequate basic functionality explanation but lacks sufficient detail about behavioral characteristics, error conditions, and output format. The absence of sibling tools reduces complexity, but the description should do more to compensate for the lack of structured metadata.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description doesn't mention any parameters directly, but with 0% schema description coverage, it doesn't compensate for the lack of parameter documentation. However, the tool has 4 parameters with clear schema definitions (url, maxLength, startIndex, raw), and the description's focus on the core functionality provides some context. The baseline would be lower if the schema were less informative.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with specific verbs ('retrieves', 'extracts') and resources ('URLs from the Internet', 'content as markdown'), and explicitly mentions handling of images. It distinguishes what the tool does without relying on the generic name 'fetch'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for retrieving and converting web content to markdown, but provides no explicit guidance on when to use this tool versus alternatives (though no sibling tools are listed). It lacks information about prerequisites, error conditions, or performance considerations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
- First observed
fetch
TDQS
With only one tool, there is no possibility of confusion or overlap between tools, making disambiguation perfect. The single tool has a clear and distinct purpose without any competing alternatives.
The single tool name 'fetch' follows a simple verb pattern, and with only one tool, consistency is inherently perfect. There are no other tools to create naming conflicts or inconsistencies.
A single tool is too few for most server purposes, as it limits functionality and flexibility. While it might suffice for basic fetching, it feels thin and under-scoped for a server named 'MCP Fetch With Proxy', which suggests broader capabilities.
The tool surface is severely incomplete; it only provides fetching and markdown extraction without supporting operations like configuration, error handling, or advanced proxy management. This leaves obvious gaps for a server with 'Proxy' in its name, such as setting or testing proxy settings.
Related MCP Connectors
Free remote MCP server for fetching public web pages through a rotating proxy pool.
MCP server for web extraction and rendering via AceDataCloud WebExtrator
Experimental MCP server for current empirical verification of explicit public HTTPS endpoint claims.
MCP server for Translation Services
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