Simulatte MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| SIMULATTE_API_KEY | Yes | Your Simulatte API key starting with sim_live_ |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| simulatte_run_studyB | Run a Simulatte synthetic research study. Choose from 26 SKUs covering concept testing, pricing, messaging, B2B committee simulation, depth interviews, and more. Returns a study_id you can poll with simulatte_get_results. |
| simulatte_get_resultsA | Retrieve results for a completed Simulatte study. Returns full structured results JSON including verdicts, key drivers, objections, persona breakdowns, and Forge Loop recommendations. |
| simulatte_ask_insightsA | Ask a question across your entire Simulatte research history using semantic search. Returns a cited answer with themes and source study references. Great for synthesizing findings across multiple studies. |
| simulatte_list_poolsA | List all persona pools in your Simulatte workspace. Returns pool IDs, names, markets, and sizes. Use pool IDs in simulatte_run_study to target a specific audience segment. |
| simulatte_create_poolA | Create a new synthetic persona pool with a custom demographic and psychographic specification. Returns a pool_id you can reuse across multiple studies. |
| simulatte_depth_interviewA | Run a simulated depth interview with a synthetic persona. The persona responds in character across multiple turns, surfacing motivations, objections, and language naturally. Returns interview_id and a credits estimate. |
| simulatte_estimate_costA | Estimate the credit cost and USD price for a Simulatte study before running it. Calculated locally — no API call needed. Credits = base_cost_per_persona × sample_size. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 7 tools
Every tool has a clearly distinct purpose, covering different stages of the research workflow: setting up pools, running studies/interviews, getting results and insights, and estimating costs. No two tools have overlapping functionality.
All tools consistently use the 'simulatte_' prefix followed by a verb_noun pattern (e.g., create_pool, get_results), making names predictable and easy to understand.
With 7 tools, the set is well-scoped for the server's purpose of synthetic research. Each tool addresses a necessary step without being excessive or insufficient.
The tools cover the core lifecycle—create pools, run studies, get results, ask insights, estimate costs. A minor gap is the lack of deletion or cancellation tools, but the essential workflows are complete.