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How to Use the Webhook.site MCP in Cursor

Live context and API responses in Cursor: Use Webhook.site while coding with your AI client.

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Webhook.site MCP on Cursor AI Code Editor MCP Client Webhook.site MCP on Claude Desktop App MCP Integration Webhook.site MCP on OpenAI Agents SDK MCP Compatible Webhook.site MCP on Visual Studio Code MCP Extension Client Webhook.site MCP on GitHub Copilot AI Agent MCP Integration Webhook.site MCP on Google Gemini AI MCP Integration Webhook.site MCP on Lovable AI Development MCP Client Webhook.site MCP on Mistral AI Agents MCP Compatible Webhook.site MCP on Amazon AWS Bedrock MCP Support
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Connect Webhook.site MCP to Cursor

Create your Vinkius account to connect Webhook.site to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Real-Time API Context with MCP Server

The `get_requests` tool lets the agent pull actual data from a webhook token's history and inject it into your code. You get live payloads, not mock stubs. When writing functions that rely on external APIs, you can use this context to make sure your generated code handles real-world input variations.

Programmatic Webhook Management

Need a new endpoint for testing? Use `create_token` to generate a unique, fresh webhook URL. This token can then be used as context when generating API calls in your project. You'll also need the ability to manage variables; `list_global_variables` shows what context is already available to the AI.

Debug Code Logic with Webhook.site

The `execute_action` tool lets your agent run a series of defined steps against a specific webhook request. This proves that complex, multi-stage logic works exactly as expected in the code. If you need to adjust how the system responds programmatically, `set_response` updates the data source for the AI's generated functions.

Setup guide

Set up Webhook.site MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the Webhook.site MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent Webhook.site transactions." If the MCP tools are loaded correctly, Cursor will call the Webhook.site tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "webhooksite-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Webhook.site. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Webhook.site MCP in Cursor

You configure the MCP Server in your project scope, and then the agent can call `get_requests`. This pulls live payload data directly into the code you're writing, letting you test against real-world API responses.
The `delete_requests` tool handles this cleanup for you. If a token accumulates too many requests, you can purge them right from your coding environment's agent mode.
Yes. You use the server to create tokens for specific testing scenarios, allowing you to simulate interactions with sensitive APIs without needing local access while coding.
This server manages HTTP request payloads, token credentials (URLs), and global variable strings. Treat all payload data as potentially private when designing your application logic.
Absolutely. By creating different tokens and actions, you can simulate inputs from multiple sources or environments within the same coding session.

Start using the Webhook.site MCP today

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