> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cekura.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Using Cekura with Claude Code

> End-to-end walkthrough: evaluate complex voice agents using Claude Code, the Cekura MCP, and Cekura Skills

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Watch an end-to-end walkthrough of evaluating complex voice agents—running multiple tools across coordinating agents—using Claude Code, the Cekura MCP, and Cekura Skills.

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## Quick Guide

<Steps>
  <Step title="Connect Claude Code to Cekura">
    Install the Cekura MCP server (see the [Claude Code tab in the MCP overview](/mcp/overview#2-configure-mcp-server)) and install the [Cekura Skills repository](https://github.com/cekura-ai/cekura-skills). Skills give Claude Code the playbook for creating evaluators, running tests, and analyzing results through Cekura.
  </Step>

  <Step title="Set up mock data and cleanup hooks">
    Complex agents depend on database state—ships, credits, sectors, user metadata. Stand up a lightweight webhook server that seeds mock data before a run and listens for Cekura's post-run webhook to reset the database. This keeps concurrent tests isolated and repeatable.
  </Step>

  <Step title="Let Claude Code learn the schema">
    Ask Claude Code to read your database schema and agent tools through the Cekura MCP. Once it has the lay of the land, prompt it to generate scenario coverage—for example: *"Using the Cekura skill, create 10 test cases covering ship movement, corp joins, and credit transfers."*
  </Step>

  <Step title="Run the full suite">
    Kick off all evaluators at once through the MCP. Cekura executes them concurrently and surfaces pass/fail with full transcripts and traces.
  </Step>

  <Step title="Triage with Claude">
    Ask Claude Code to pull failing runs and classify them: *"Analyze these 4 failures and tell me which are real bugs vs. flakes."* Because runs are non-deterministic, **rerun each failing test 3–4 times** and ask Claude to compute a pass rate. One pass out of four usually points to a prompt or tool-routing bug, not infra.
  </Step>

  <Step title="Get a root-cause report">
    Claude Code stitches together Cekura run links, Pipecat session IDs, transcripts, and a per-scenario root cause into a final report—coverage summary, failure breakdown, and recommended prompt or tool fixes.
  </Step>
</Steps>

<Tip>
  A good first prompt: *"Use the Cekura MCP to list my agents, then use the Cekura skill to generate 10 workflow evaluators covering the most common user flows."*
</Tip>
