How to Use the Treblle MCP in Cursor

Q: How do I set up Treblle with Cursor?

You create a .cursor/mcp.json file in your project root or globally. You add the server details there and then you enable Agent mode in the chat to let the AI call the tools.

Q: Does Treblle mask sensitive data for Cursor?

Yep, it masks sensitive fields automatically. The ingestapidata tool ensures that passwords, CCs, and SSNs are masked before they ever get used by the AI agent in your code.

Q: Can I use Treblle with my private project scope in Cursor?

Yes. You configure it by adding the server to your local .cursor/mcp.json file, keeping the setup contained right within that specific project's scope.

Write code using real API responses with Treblle and Cursor.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Treblle MCP to Cursor

Create your Vinkius account to connect Treblle 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.

GDPR Free for Subscribers

Setup Treblle with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Use Live Data in Code Generation

The `ingest_api_data` tool changes how you write code. When the AI calls this MCP Server, it injects live data—not stubs or mock values—directly into the context of your file. This means the working code Cursor generates uses actual API responses from your environment. You get real context without ever leaving the editor.

Real-Time Observability via MCP Server

You can monitor and document complex API traffic using `ingest_api_data`. This tool ingests request and response data, giving you instant observability right where your code lives. It handles the heavy lifting of masking private info like passwords and SSNs before that data is ever processed by the AI agent.

Keep Code Context Accurate

The `ingest_api_data` tool focuses on providing accurate context. By feeding it real-time API traffic, you ensure the code Cursor writes matches your live system behavior. This prevents bugs caused by developers relying on outdated or simulated data during the coding process.

Setup guide

Set up Treblle MCP in Cursor

Prerequisites

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

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

Add the Treblle 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

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

Verify the connection

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

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Treblle. 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.

Connect Treblle now

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 Treblle MCP in Cursor

You create a `.cursor/mcp.json` file in your project root or globally. You add the server details there and then you enable Agent mode in the chat to let the AI call the tools.

Yep, it masks sensitive fields automatically. The `ingest_api_data` tool ensures that passwords, CCs, and SSNs are masked before they ever get used by the AI agent in your code.

It tracks both the request and response side of your API calls. This live traffic is what feeds into the context, letting you document complex system interactions directly within Cursor's editor.

Yes. You configure it by adding the server to your local `.cursor/mcp.json` file, keeping the setup contained right within that specific project's scope.

The MCP Server specifically masks sensitive fields like passwords, credit card numbers (CCs), and Social Security Numbers (SSNs). This keeps your API request/response data secure while you're coding.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript