Audit LLM traces and experiment metrics
langsmith-mcp-servermcp_serversetup L2★0
npm:langsmith-mcp-server ↗What it does
Fetch LangSmith traces, prompts, datasets and experiment metrics
Best for
Use when you need to audit LLM traces, pull prompt templates, or compare experiment performance.
Inputs
- · Project names
- · Dataset IDs
- · Thread IDs
- · Run UUIDs
Outputs
- · Run traces with metadata
- · Prompt templates
- · Dataset examples
- · Experiment metrics
Requires
- · LANGSMITH_API_KEY
- · Optional: LANGSMITH_WORKSPACE_ID
Preconditions
- · LangSmith account
- · Node.js 18+
Failure modes
- · Character-budget pagination requires manual page iteration
- · Large traces may truncate strings
Trust signals
- · MIT license
- · Full parity with official Python implementation
- · npm published