Simulatte — Synthetic Consumer Research
Simulatte runs your business decisions past a persona pool grounded in real buyer data (open web, CRM, or voice interviews) and returns how the market reacts…
What it can do
- Simulatte Menu: Show the Simulatte home menu: the study catalogue (SKUs + credit cost each), the current credit balance, and the workspace's persona pools (standard + custom). Call this whenever the u
- Simulatte Describe Sku: Describe what a specific Simulatte study (SKU) needs before you run it: required inputs, optional inputs, and the allowed values for choice fields (e.g. Creative Audit's object
- Simulatte List Pools: 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.
What data it sees
Do you need an account
No: the server works without sign-in
Simulatte runs your business decisions past a persona pool grounded in real buyer data (open web, CRM, or voice interviews) and returns how the market reacts before you commit budget. Test a price, a claim, a piece of creative, a name, or a custom survey and get the behavioural drivers, the segment that disagrees, and a traceable verdict.
Tools: simulatte_menu (catalogue, credits, pools) · simulatte_describe_sku · simulatte_list_pools · simulatte_run_study (25 study types) · simulatte_get_results · simulatte_ask_insights · simulatte_create_pool · simulatte_depth_interview · simulatte_estimate_cost
Start: call simulatte_menu → simulatte_describe_sku → simulatte_run_study.
How to connect
How to connect Simulatte — Synthetic Consumer Research to Claude
The server address to paste into Claude settings:
https://simulatte.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect Simulatte — Synthetic Consumer Research to ChatGPT
The server address to paste into ChatGPT settings:
https://simulatte.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect Simulatte — Synthetic Consumer Research to Cursor
The server address to paste into Cursor settings:
https://simulatte.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (9)
Raw names from tools/list. Only developers need these.
| simulatte_menu | Show the Simulatte home menu: the study catalogue (SKUs + credit cost each), the current credit balance, and the workspace's persona pools (standard + custom). Call this whenever the user says 'Simulatte', asks what they can do, or wants to start. It's the entry point — from here, use simulatte_describe_sku to see a study's inputs, then simulatte_run_study to run it. |
| simulatte_describe_sku | Describe what a specific Simulatte study (SKU) needs before you run it: required inputs, optional inputs, and the allowed values for choice fields (e.g. Creative Audit's objective = trial / consideration / brand_recall / …). Pull this BEFORE simulatte_run_study so the inputs are correct. Sourced live from the study's real contract. |
| simulatte_list_pools | 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_run_study | Run a Simulatte synthetic research study. Choose from 25 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_results | 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_insights | 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_create_pool | 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_interview | 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_cost | Estimate the credit cost for a Simulatte study before running it. Calculated locally — no API call needed. Credits = base_cost_per_persona × sample_size. |