Braintrust MCP Server
Automate AI evaluations with Braintrust — organize projects, test model datasets, run benchmarks, and manage prompts via any AI agent.
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What is the Braintrust MCP Server?
The Braintrust MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Braintrust via 10 tools. Automate AI evaluations with Braintrust — organize projects, test model datasets, run benchmarks, and manage prompts via any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Braintrust
Ask your AI agent "List all active test datasets configured under Braintrust." and get the answer without opening a single dashboard. With 10 tools connected to real Braintrust data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Braintrust MCP Server capabilities
10 toolsEstablish a new historical experiment trace to record LLM pipeline tests
Create a new project environment for tracking AI evaluations and datasets
Retrieve a specific dataset containing exact schemas bounding LLM outputs
Retrieve exact variable contexts and literal text templates for a prompt
Append new test cases into a dataset matrix targeting specific evaluations
List isolated Ground Truth text banks used for automated evaluation scoring
Probe the Braintrust AI Gateway configurations managing model API keys securely
Retrieve all evaluation experiments mapping model test scores and metrics
Retrieve the list of all AI evaluation projects in Braintrust
Retrieve explicitly version-controlled system prompts isolated in Braintrust
What the Braintrust MCP Server unlocks
Connect your Braintrust AI observation platform to any agent and maintain intense logic evaluation capabilities directly over conversation.
What you can do
- Project Analytics — Retrieve logic banks and branch isolated AI test sets
- Experiments — Create real trace regression tests appending unique LLM scoring iterations
- Datasets — Query accurate Ground Truth sets and insert new prompt templates mapping your system accuracy
- Prompt Versioning — Grab perfectly frozen semantic prompts without editing core code boundaries
How it works
1. Add this server to your AI cluster
2. Bind your personal Braintrust API ID variables
3. Leverage complex model tuning pipelines querying native AI logic regressions on chat
Automate LLM regression analyses effortlessly. Rather than scrolling tables, your bot handles strict semantic checking via Braintrust infrastructure logic directly.
Who is this for?
- AI Developers — push Ground Truth evaluation text datasets on the fly testing prompt differences
- Machine Learning Engineers — track specific variable distributions checking accurate regressions remotely
- Product Teams — observe exact string prompts dynamically pushing features validating response styles
- Data Scientists — construct massive matrices and evaluate test runs without pulling script queries
Frequently asked questions about the Braintrust MCP Server
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.
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.
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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Connect Braintrust with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Braintrust MCP Server
Production-grade Braintrust MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.