How to Use the Braintrust MCP in Cursor

Q: How do I configure the Braintrust MCP Server in Cursor?

Add the server to your project-scope .cursor/mcp.json file under the mcpServers key. Once saved, enable Agent mode in the chat panel to let Cursor invoke the Braintrust tools.

Q: Can I run Braintrust experiments directly from the Cursor agent?

Yes, Cursor uses createexperiment to spin up test runs and record historical traces of your pipeline. You get real-time tracking of evaluation scores inside your editor chat interface as the run progresses.

Q: Where are my Braintrust API gateway credentials stored?

The listenvvars tool probes configurations securely, keeping your model API keys encrypted within Cursor's local environment. No raw credentials are sent to external storage during tool execution.

Let Cursor inject live Braintrust datasets and experiments directly into your active code files.

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Connect Braintrust MCP to Cursor

Create your Vinkius account to connect Braintrust 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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Setup Braintrust with Cursor

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Inject Braintrust datasets into Cursor code

This MCP Server uses `get_dataset` and `list_datasets` to pull ground truth text banks directly into your Cursor editor. When writing unit tests, your agent reads the exact schemas bounding your LLM outputs and writes test fixtures using real dataset rows. You no longer have to mock dataset payloads or guess test schemas. Cursor queries your Braintrust datasets on the fly, populating your editor with live production-grade test cases that match your active branch configurations.

Run Braintrust experiments from Cursor Agent

The `create_experiment` and `list_experiments` tools let Cursor track code changes against historical evaluation runs. As you refactor your model pipelines, the Cursor agent triggers a new experiment to log your local test scores. This tight loop gives you instant feedback inside the editor. You see exactly how your local code edits impact accuracy metrics, with the agent automatically mapping the results to your central Braintrust dashboard using the active MCP connection.

Pull active prompt contexts into Cursor

The `get_prompt` and `list_prompts` tools fetch version-controlled system prompts directly into your active coding session. Cursor reads the literal templates, allowing the agent to write typescript or python wrapper code that matches your production prompt schemas. This prevents syntax mismatches when updating LLM calls. The editor updates your local prompt variables to match the exact context expected by Braintrust, reducing integration errors before you commit.

Setup guide

Set up Braintrust 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 Braintrust 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 Braintrust transactions." If the MCP tools are loaded correctly, Cursor will call the Braintrust tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

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Common questions about Braintrust MCP in Cursor

Add the server to your project-scope `.cursor/mcp.json` file under the `mcpServers` key. Once saved, enable Agent mode in the chat panel to let Cursor invoke the Braintrust tools.

Yes, Cursor uses `create_experiment` to spin up test runs and record historical traces of your pipeline. You get real-time tracking of evaluation scores inside your editor chat interface as the run progresses.

No, the MCP setup runs in a managed sandbox environment. Cursor interacts with the Braintrust API directly through the JSON-RPC protocol, bypassing the need for local SDK setup.

Ask the Cursor agent to list your workspace, which triggers the `list_projects` tool. The agent displays your active Braintrust project environments directly in the sidebar chat.

The `list_env_vars` tool probes configurations securely, keeping your model API keys encrypted within Cursor's local environment. No raw credentials are sent to external storage during tool execution.

Use it with your favorite AI tools

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