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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Braintrust with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Automate AI evaluations with Braintrust. organize projects, test model datasets, run benchmarks, and manage prompts via any AI agent.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 10 capabilities

The complete Braintrust capability set.

These are the exact actions your AI can choose when you ask it to work with Braintrust.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Braintrust.

  1. 01

    List experiments

    Retrieve all evaluation experiments mapping model test scores and metrics

  2. 02

    Insert dataset row

    Append new test cases into a dataset matrix targeting specific evaluations

  3. 03

    List projects

    Retrieve the list of all AI evaluation projects in Braintrust

  4. 04

    List prompts

    Retrieve explicitly version-controlled system prompts isolated in Braintrust

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Braintrust.

  1. 05

    Get dataset

    Retrieve a specific dataset containing exact schemas bounding LLM outputs

  2. 06

    Get prompt

    Retrieve exact variable contexts and literal text templates for a prompt

  3. 07

    List env vars

    Probe the Braintrust AI Gateway configurations managing model API keys securely

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Braintrust.

  1. 08

    Create experiment

    Establish a new historical experiment trace to record LLM pipeline tests

  2. 09

    Create project

    Create a new project environment for tracking AI evaluations and datasets

  3. 10

    List datasets

    List isolated Ground Truth text banks used for automated evaluation scoring

Observed, not estimated

874ms average. Fast in production.

Braintrust is checked daily against the live service.

Daily averagePeak 1072ms
Aug 28Today
Fastest day
795ms
Slowest day
1072ms
14-day trend
Improving-10%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Braintrust, so you can see the experience inside your AI.

It does not authenticate your account with Braintrust. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Braintrust Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_cr8T7CpPGy155EtBgklGtlDgFsTWLRLYfzKoHIOF/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Braintrust capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "braintrust-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_cr8T7CpPGy155EtBgklGtlDgFsTWLRLYfzKoHIOF/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Braintrust owners ask.

  • 01

    Can I insert new test data dynamically tracking specific limits?

    Yes. Utilizing the insert_dataset_row method, you can effortlessly inject exact JSON tracking payload mapping strings directly inside the text corpus evaluating the final results.

  • 02

    Does it pull out original Prompt definitions stored securely?

    Certainly. The get_prompt command isolates and returns perfectly version-controlled bounding parameters slicing literal templates natively hosted under the Braintrust database.

  • 03

    How deeply can it inspect test regressions or scoring limits?

    Using the robust list_experiments call, you can branch full arrays separating LLM version behaviors over massive iterations tracking the performance anomalies accurately.

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