In Coach, simulations work because Coach loads skills — guided recipes that handle the right multi-step sequence (set up a test customer, write strong assertions, choose the right execution environment, etc.) automatically based on your intent. You don’t think about skills; they just happen.
The MCP server is different. MCP exposes the underlying Lorikeet tools directly to your AI assistant — there’s no automatic orchestration. If you just say “create a sim for the refund flow”, the AI calls raw tools and often misses prerequisites: simulations created without test customer profiles, weak assertions, wrong execution environment, silent failures that look fine in the UI.
To get the same guided experience over MCP, you invoke the skill explicitly.
Coach: skills load automatically from intent.
MCP: skills must be invoked explicitly — syntax varies by client.
How to invoke a sim skill on MCP
Claude Code
Claude (desktop / web)
ChatGPT
Other MCP clients
Type the skill as a slash command at the start of your prompt:Claude Code will load the recipe and follow it end-to-end. Ask Claude to load the skill explicitly, then describe your task:Claude calls the MCP load_prompt tool to fetch the skill content, then proceeds. With the Lorikeet app enabled in your workspace: For Cursor, Continue, Cline, and other MCP clients, the universal pattern works: Skip the skill invocation and the AI improvises from raw tools. Most common consequences: simulations created without test customer profiles, weak or missing assertions, wrong execution environment, silent failures. Always invoke the skill first.
End-to-end example: creating and running sims via MCP
Here’s the canonical flow using Claude Code. Adjust the slash command syntax per the tabs above for other clients.
Create simulations for a workflow
The skill will:
- Analyze the workflow
- Set up a test customer profile if needed
- Generate scenarios with clear instructions and initial messages
- Define expected results and assertions
- Confirm with you before creating
Run the simulations
The skill will execute the batch, poll for completion, and present pass/fail with reasoning per scenario. Iterate on failures
The skill will classify each failure, propose targeted fixes, apply them on a draft, re-run, and repeat until the target is hit. Edit a scenario if needed
Review your sim coverage
The skill grades expected-result reliability, instruction clarity, test customer completeness, and coverage. Simulation skills reference
Other Lorikeet skills available via MCP
The same skill-invocation pattern works for non-simulation tasks. Replace create-simulations with the relevant skill name:
Troubleshooting
Output looks incomplete or missing setup steps — you likely didn’t invoke a skill. Retry with the slash command or load_prompt instruction.
My MCP client doesn’t support slash commands — use the universal fallback: “Use the Lorikeet load_prompt tool to load <skill-name>, then…”.
I want to see what a skill does before invoking it — call load_prompt(<skill-name>) directly via MCP; the content returns inline.
Still stuck? Reach out to the Lorikeet team. 
