Braintrust
AI observability and evals platform for tracing agents, running experiments and scoring outputs.
What it is
Braintrust helps teams observe and evaluate AI agents. It traces production agents and tool calls with latency, cost and quality metrics, runs experiments on datasets to compare prompts and models, and scores outputs with LLMs, code or human review. Loop, a built-in assistant, helps improve prompts, scorers and datasets, and Brainstore stores large volumes of AI logs for search.
MCP server
What an AI agent can do with it
- Read: query logs, experiments and datasets with SQL and summarize experiments
- Write: create prompts, evaluators and scores, edit datasets and run experiments
MCP docs · Verified 9 Oct 2026
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