mcp-server-requests
About
mcp-server-requests is an MCP server that provides HTTP request capabilities, enabling LLMs to fetch and process web content. It is designed for developers and AI applications that need programmatic web fetching and API interaction.
Details
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- MCP-Mirror
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- Converts web content to Markdown format
- Filters out content useless for LLMs (e.g., scripts, styles)
- Supports custom User-Agent headers
- Supports randomly generated User-Agent headers
- Supports custom request headers in HTTP calls
- Full HTTP methods: GET, POST, PUT, DELETE, PATCH
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
mcp-server-requestsCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install by cloning the repository and running pip install .. Configure in the MCP client by adding "mcp-server-requests" with command python -m mcp_server_requests. Optionally set User-Agent via command-line flags (--user-agent or --random-user-agent). Use the server’s tools (fetch, http_get, http_post, http_put, http_patch, http_delete) to perform HTTP operations.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp-server-requests": {
"coucya_mcp-server-requests": {
"command": "python",
"args": [
"-m",
"mcp_server_requests"
]
}
}
}
}
McpServers
{
"coucya_mcp-server-requests": {
"command": "python",
"args": [
"-m",
"mcp_server_requests"
]
}
}
mcp-server-requests
An MCP server that provides HTTP request capabilities, enabling LLMs to fetch and process web content.
Features
- Supports converting web content to Markdown format - Supports filtering out content useless for LLMs - Supports custom User-Agent headers - Supports random User-Agent headers - Supports custom request headers in HTTP requests - Supports full HTTP methods (GET, POST, PUT, DELETE, PATCH) - LLMs can access complete HTTP response header informationInstallation
git clone https://github.com/coucya/mcp-server-requests.git
cd mcp-server-requests
pip install .
Usage
MCP Server Configuration
{
"mcpServers": {
"mcp-server-requests": {
"command": "python",
"args": [
"-m",
"mcp_server_requests"
]
}
}
}
Command Line
0. Start MCP Server
Start the MCP server directly:
python -m mcp_server_requests
Options
---user-agent TEXT: Specify custom User-Agent string
- --random-user-agent [browser=xxx;os=xxx]: Use randomly generated User-Agent
- --force-user-agent: Force using command line specified User-Agent, ignoring LLM provided UA
- --list-os-and-browser: List available browsers and OS for random User-Agent generation
Option Details
---user-agent and --random-user-agent are mutually exclusive and cannot be used together
- User-Agent setup methods:
- Custom string: --user-agent "Mozilla/5.0 (...)"
- Fully random: --random-user-agent
- Conditional random generation:
- Specify browser type: --random-user-agent browser=chrome
- Specify OS: --random-user-agent os=windows
- Both browser and OS: --random-user-agent browser=chrome;os=windows
- Note: Browser and OS parameters are case insensitive
- Use --list-os-and-browser to view available browsers and OS for --random-user-agent.
- --force-user-agent controls User-Agent priority:
- When enabled: Prioritize command line specified User-Agent (via --user-agent or --random-user-agent), ignoring LLM provided UA
- When disabled:
- If LLM provides User-Agent, use that
- Otherwise use command line specified User-Agent
---
1. fetch - Fetch Web Content
The fetch subcommand is equivalent to the fetch tool functionality, demonstrating fetch capabilities.
python -m mcp_server_requests fetch <URL> [--return-content {raw,basic_clean,strict_clean,markdown}]
Options:
- --return-content: Return content type (default: markdown)
- raw: Return raw unprocessed HTML content
- basic_clean: Basic cleanup, removing non-display tags like script, style
- strict_clean: Strict cleanup, removing non-display tags and most HTML attributes
- markdown: Convert HTML to clean Markdown format
Example:
python -m mcp_server_requests fetch https://example.com
---
2. get - Execute HTTP GET Request
The get subcommand is equivalent to the http_get tool functionality, demonstrating http_get capabilities.
python -m mcp_server_requests get <URL> [--headers HEADERS]
Options:
- --headers: Custom request headers (format: "key1=value1;key2=value2")
---
3. post - Execute HTTP POST Request
The post subcommand is equivalent to the http_post tool functionality, demonstrating http_post capabilities.
python -m mcp_server_requests post <URL> [--headers HEADERS] [--data TEXT]
Options:
- --headers: Custom request headers
- --data: Request body data
---
4. put - Execute HTTP PUT Request
The put subcommand is equivalent to the http_put tool functionality, demonstrating http_put capabilities.
python -m mcp_server_requests put <URL> [--headers HEADERS] [--data TEXT]
Options: Same as POST method
---
5. delete - Execute HTTP DELETE Request
The delete subcommand is equivalent to the http_delete tool functionality, demonstrating http_delete capabilities.
python -m mcp_server_requests delete <URL> [--headers HEADERS] [--data TEXT]
Options: Same as POST method
---
Functionality
Available Tools
1. fetch - Fetch web content
- Parameters:
- url (required): Target URL
- return_content (optional): Return content type ('raw', 'basic_clean', 'strict_clean', 'markdown')
- raw: Return raw HTML content
- basic_clean: Return filtered HTML content, removing non-display tags like script, style
- strict_clean: Return filtered HTML content, removing non-display tags and most useless HTML attributes
- markdown: Return HTML converted to Markdown
2. http_get - Execute HTTP GET request
- Parameters:
- url (required): Target URL
- query (optional): Query parameter key-value pairs
- headers (optional): Custom request headers
- LLM may specify User-Agent in headers, whether to use it is controlled by --force-user-agent (same applies to other tools)
3. http_post - Execute HTTP POST request
- Parameters:
- url (required): Target URL
- query (optional): Query parameter key-value pairs
- headers (optional): Custom request headers
- data (optional): Request body data (text)
- json (optional): Request body data (JSON)
- data and json cannot be used together
4. http_put - Execute HTTP PUT request
- Parameters: Same as http_post
5. http_patch - Execute HTTP PATCH request
- Parameters: Same as http_post
6. http_delete - Execute HTTP DELETE request
- Parameters: Same as http_post
License
MITSign in to leave a review
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