Web Request MCP Server
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., "@Web Request MCP Server Get the latest user info from https://api.github.com/users/octocat"
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.
Web Request MCP Server
Execute HTTP requests via MCP (Model Context Protocol)
This is a TypeScript-based MCP server that provides a flexible tool to execute HTTP requests with custom methods, headers, and body content. It enables AI assistants to interact with web APIs and endpoints seamlessly.
Features
http_request
A versatile tool for making HTTP requests with full control over all parameters.
Purpose: Execute HTTP requests with custom configuration
Parameters:
url(required): The target URL (e.g., "https://api.example.com/endpoint")method(optional): HTTP method - GET, POST, PUT, DELETE, PATCH, HEAD, OPTIONS (defaults to GET)headers(optional): Custom headers as key-value pairsbody(optional): Request body (string or object, automatically JSON stringified for objects)params(optional): URL query parameters as key-value pairs
Behavior:
Automatic Content-Type detection for JSON bodies
Response truncation for large responses (max 50,000 characters)
Comprehensive error handling with status codes
Returns full response including status, headers, and data
Example requests:
// Simple GET request
{ url: "https://api.github.com/users/octocat" }
// POST with JSON body
{
url: "https://api.example.com/data",
method: "POST",
headers: { "Authorization": "Bearer token123" },
body: { name: "John", email: "john@example.com" }
}
// GET with query parameters
{
url: "https://api.example.com/search",
params: { q: "search term", limit: "10" }
}Related MCP server: MCP Server for Crawl4AI
Development
Install dependencies:
npm installBuild the server:
npm run buildFor development with auto-rebuild:
npm run watchInstallation
Using with Claude Desktop
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"webrequest": {
"command": "node",
"args": ["/ABSOLUTE/PATH/TO/webrequest-mcp-server/build/index.js"]
}
}
}Using with Cursor
Add to your Cursor MCP settings configuration file:
{
"mcpServers": {
"webrequest": {
"command": "node",
"args": ["/ABSOLUTE/PATH/TO/webrequest-mcp-server/build/index.js"]
}
}
}Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector:
npm run inspectorThe Inspector will provide a URL to access debugging tools in your browser.
Configuration
The server configuration:
Max response size: 50,000 characters (responses larger than this are truncated)
Supported methods: GET, POST, PUT, DELETE, PATCH, HEAD, OPTIONS
Content types: Automatic JSON handling, supports any content type via headers
Use Cases
This MCP server is useful for:
Testing and interacting with REST APIs
Fetching data from web services
Automating HTTP requests in AI workflows
Prototyping API integrations
Debugging web endpoints
License
MIT License - see LICENSE file for details
Available Tools
1 toolhttp_requestA
Execute an HTTP request with custom method, URL, headers, and body. Supports GET, POST, PUT, DELETE, PATCH, and other HTTP methods. The AI can choose all parameters based on the task requirements.
Inputs: url (required), body, method, params, +1 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 1 tool
Only one tool exists, so there is no ambiguity. The tool's purpose is clearly defined for HTTP requests.
With a single tool, naming consistency is not applicable but trivially consistent. The name 'http_request' is clear and follows a common pattern.
The server has only one tool, which is minimal but arguably sufficient given the broad scope of HTTP requests it supports. It is slightly under but reasonable.
The tool covers all standard HTTP methods and allows custom headers and body, making it fairly complete for basic web requests. However, it may lack support for advanced features like cookie handling or redirect following.
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