The apex behavioral-simulation engine,now callable from inside any agent.

Aetherya simulates audience cognition before launch. The Aetherya MCP exposes that power as tools, so any AI agent or coding tool can test a site, a headline, or an idea against a synthetic audience without leaving the editor.

Launch Console Read the docs

ClaudeCursorCodexPiOpenCode

[ what it is ]

Aetherya, now as
MCP tools.

Point any MCP-capable agent at a site or a piece of copy and it gets behavioral feedback from a synthetic audience, including predicted friction, hesitation, drop-off, and messaging clarity, all without leaving the editor.

Note · Results are simulated. Every signal comes from a synthetic audience and predicted behavior, not real-user data.

One protocol, every editor

Claude Code, Cursor, Windsurf, Codex, Pi, OpenCode, Gemini CLI, and Antigravity. If it speaks MCP, it speaks Aetherya.

Behavior, not heuristics

Findings are grounded in simulated cognition, showing how an audience would think, hesitate, and decide.

Audiences you control

Describe a segment in plain language and target it across every tool in the catalog.

Inside the loop

Your agent gets evidence it can act on before a human ever reviews the work.

[ tool catalog ]

One synthetic audience.

The full surface of the protocol. Every tool runs against a simulated audience and returns predicted behavior, evidence your agent can act on.

Hero

aetherya_audit_site

Run a behavioral simulation of a URL: predicted UX friction, hesitation, drop-off, and messaging-clarity issues with concrete fixes.

aetherya_get_audit_result

Fetch an audit's findings by job_id. Audits run async, so poll this while a simulation is still running.

aetherya_list_audiences

List your synthetic audiences, the simulated personas you can target.

aetherya_create_audience

Generate new synthetic personas from a plain-language description, e.g. "first-time SaaS buyers in Germany".

aetherya_test_copy

Test a headline, value-prop, or copy variant against a synthetic audience for predicted clarity and response.

aetherya_ask_audience

Pose an open-ended question to a synthetic audience ("would this confuse people?") and get a predicted, in-character response.

[ in the loop ]

Where your agent uses it.

Behavioral simulation, folded into the work your agent already does, before the decision, before the spend, before launch.

01 / Audit & fix

Your agent audits a page it just built and resolves the top predicted friction before you ever see it.

02 / Pre-test spend

Your agent A/B-tests ad copy against a simulated audience before a single dollar of spend.

03 / Build the room

Your agent spins up a target audience from a description, then simulates a launch page against it.

04 / Ask in their voice

Your agent asks a synthetic segment whether a value prop lands, answered in their own words.

[ connect ]

Install via npm.

The only supported install path is the published @aetherya/mcp package on npm, run with npx. Add it to your MCP client, then run the discovery-first auth flow.

[ step 1: claude code ]

terminalbash

claude mcp add aetherya -- npx -y @aetherya/mcp
npx -y @aetherya/mcp auth

[ step 2: mcp client config ]

mcp.jsonjson

{
  "mcpServers": {
    "aetherya": {
      "command": "npx",
      "args": ["-y", "@aetherya/mcp"],
      "env": {}
    }
  }
}

On first use, the MCP client discovers Aetherya metadata and opens a human claim ceremony. The user reviews the workspace and exact capabilities at /claim. Legacy API keys remain available from Settings → API Keys for existing integrations; they start with aeth_live_. npx pulls @aetherya/mcp from npm and runs it on demand, so it stays current automatically.

[ get started ]

Simulate audience cognition,from wherever you build.

Launch Console Talk to us