Query traces with MCP

The PostHog MCP server lets your AI coding agent query LLM traces directly from your code editor. Check costs, monitor errors, and analyze model performance – without switching to the PostHog app.

This works in any MCP client – Cursor, Windsurf, Claude Code, VS Code, and others.

How it works

With MCP, your coding agent can:

  • Check costs before and after deploys – "What's my LLM spend today vs yesterday?" to catch cost regressions
  • Monitor error rates – "Are there any LLM errors in the last hour?" to detect issues early
  • Compare models – "Compare latency between GPT-4 and Claude for the chat feature" to evaluate model choices
  • Investigate specific traces – "Show me the most expensive LLM call from today" to find optimization opportunities

LLM Analytics tools

The MCP server provides these tools for working with LLM traces:

ToolDescription
get-llm-total-costs-for-projectGet total LLM costs for the project, broken down by model. Useful for monitoring spend and detecting cost anomalies.
query-runRun a custom HogQL query against your LLM trace data. Supports filtering by model, feature, cost, latency, error status, and time range.

A typical workflow starts with get-llm-total-costs-for-project to check overall spend and identify which models are most expensive, then uses query-run with a HogQL query to drill into specific traces by feature, time range, or cost threshold.

Example prompts

Try these with your MCP-enabled agent:

  • What are my total LLM costs this week, broken down by model?
  • Find the most expensive LLM calls from the last 24 hours.
  • Are there any LLM errors today?
  • Compare token usage between GPT-4 and Claude for the search feature.
  • How has LLM latency changed over the past 7 days?
  • Show me traces where a single call cost more than $0.50.

Install the MCP server

The recommended way to install is with the AI wizard:

Terminal
npx @posthog/wizard mcp add

The wizard supports Claude, Cursor, Windsurf, VS Code, and more. You can also configure it manually.

See the MCP server docs for full setup instructions.

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