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Use the official Braintrust MCP server to search Braintrust docs, inspect projects, query logs and experiments, summarize eval results, and generate permalinks.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/braintrustdata/braintrust-codex-plugin --skill braintrustコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
SOC 職業分類に基づく
SKILL.md を表示中
| name | braintrust |
| description | Use the official Braintrust MCP server to search Braintrust docs, inspect projects, query logs and experiments, summarize eval results, and generate permalinks. |
Use this skill when the user asks to work with Braintrust data, documentation, experiments, datasets, prompts, logs, traces, evals, or SDK setup.
Use the braintrust MCP server.
Default US data plane URL:
https://api.braintrust.dev/mcp
EU data plane URL:
https://api-eu.braintrust.dev/mcp
Self-hosted URL:
Use the organization's configured Braintrust API URL with /mcp.
Prefer the plugin-provided OAuth flow for the remote MCP server.
Braintrust also supports API-key bearer authentication. In Codex TOML, the verified configuration is:
[mcp_servers.braintrust]
url = "https://api.braintrust.dev/mcp"
bearer_token_env_var = "BRAINTRUST_API_KEY"
Never print or expose the API key.
Use search_docs for Braintrust documentation questions.
Use docs://sdk-install before search_docs when the user asks to install Braintrust, set up tracing, add observability, or configure an eval.
Use resolve_object to convert Braintrust names, IDs, and URLs into object metadata.
Use list_recent_objects to discover accessible projects, experiments, datasets, prompts, functions, and other recent objects.
Use infer_schema before writing SQL when the available fields are unclear.
Use sql_query to query experiments, datasets, project logs, traces, and summaries.
Use summarize_experiment for aggregate experiment metrics and baseline comparisons.
Use generate_permalink when the user needs a shareable Braintrust link.
For production debugging, first resolve the relevant project or object, infer schema if needed, query logs with sql_query, then generate permalinks for important traces.
For experiment analysis, list or resolve the experiment, summarize it, compare against a baseline when available, then use SQL for row-level examples.
For documentation and setup, read docs://sdk-install for SDK installation tasks and use search_docs for follow-up details.
Use MCP when the user wants conversational exploration of Braintrust data or docs.
Prefer the bt CLI for repeatable workflows, CI gates, running evals, scripted operations, and setup flows that should be deterministic.
The Braintrust MCP is currently best treated as read-oriented. Do not invent write capabilities.