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.
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 — 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, Claude Desktop, Cursor, Windsurf, VS Code, Codex, Antigravity — if it speaks MCP, it speaks Aetherya.
Behavior, not heuristics
Findings are grounded in simulated cognition — 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.
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.
aetherya_audit_siteRun a behavioral simulation of a URL: predicted UX friction, hesitation, drop-off, and messaging-clarity issues with concrete fixes.
aetherya_get_audit_resultFetch an audit's findings by job_id. Audits run async, so poll this while a simulation is still running.
aetherya_list_audiencesList your synthetic audiences — the simulated personas you can target.
aetherya_create_audienceGenerate new synthetic personas from a plain-language description, e.g. "first-time SaaS buyers in Germany".
aetherya_test_copyTest a headline, value-prop, or copy variant against a synthetic audience for predicted clarity and response.
aetherya_ask_audiencePose an open-ended question to a synthetic audience — "would this confuse people?" — and get a predicted, in-character response.
Where your agent uses it.
Behavioral simulation, folded into the work your agent already does — before the decision, before the spend, before launch.
Your agent audits a page it just built and resolves the top predicted friction before you ever see it.
Your agent A/B-tests ad copy against a simulated audience before a single dollar of spend.
Your agent spins up a target audience from a description, then simulates a launch page against it.
Your agent asks a synthetic segment whether a value prop lands — answered in their own words.
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.
claude mcp add aetherya -- npx -y @aetherya/mcp
npx -y @aetherya/mcp auth{
"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.