ai.aetherya/mcp

up checked 2026-11-11T01:37:45.557Z

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Publisher-provided title

Aetherya

Publisher-provided description

Test decisions on a synthetic audience: studies, site audits, copy tests and post simulations.

Summary by lookupd

Runs simulated audience tests on copy, creatives, sites, posts and video to predict reactions and pick the strongest option before launch.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http mcp https://mcp.aetherya.ai/mcp

Claude Code, npm package (stdio)

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

Codex, remote (streamable-http)

codex mcp add mcp --url https://mcp.aetherya.ai/mcp

Codex, npm package (stdio)

codex mcp add mcp -- npx -y @aetherya/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.aetherya.ai/mcp"
    }
  }
}

Cursor, npm package (stdio) → .cursor/mcp.json

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

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (27 tools)

Publisher-provided text

• aetherya_list_capabilities List the research methods this workspace can run — with the exact stimulus fields each one requires — plus remaining plan headroom and simulation-session balanc
• aetherya_estimate Quote how many simulation sessions a run would cost, and roughly what share of your plan it would consume, before committing to it. Free — this never starts a s
• aetherya_plan_study Give Aetherya a decision you need to make, in plain English, and it designs the study, picks or builds the audience, prices it, and runs it — then writes a deci
• aetherya_confirm_study Respond to a plan from aetherya_plan_study. Use action 'confirm' with accept_sessions to approve the quoted cost and start the run — this is the point at which
• aetherya_read Myrias instant read. Reads 2-5 variants against a census-weighted synthetic population for a market, in seconds, and returns each variant's predicted action pro
• aetherya_run_study Run a Research Lab study — pricing sensitivity, message testing, concept testing, focus groups — against a synthetic audience and get a structured verdict with
• aetherya_test_copy Compare 2-5 copy variants — headlines, value propositions, ad or email copy — against a synthetic audience, and get a ranked verdict with predicted action prope
• aetherya_audit_site Run a behavioral simulation: a synthetic audience visits a URL and predicts where real users would hesitate, get confused, or drop off, plus messaging-clarity a
• aetherya_test_flow Simulate people who arrive from an ad (image, video or copy), land on a page, and take one of several exits (for example book a consultation, open the plan form
• aetherya_ask_audience SECONDARY TOOL. Pose a question to a SINGLE synthetic persona and get one predicted, in-character response — good for an open-ended 'would this confuse someone
• aetherya_simulate_post Run a post (X, LinkedIn, Instagram, Facebook) or email through a synthetic audience and get predicted engagement, sentiment and representative reactions before
• aetherya_cancel Stop a study, instant read, plan, audit or post simulation that is still running. Use it when the user changes their mind or a run was started with the wrong in
• aetherya_list_runs List the workspace's recent simulations across studies, instant reads, plans, audits and post simulations, newest first, with the kind and id to pass to aethery
• aetherya_get_result Fetch the findings of a run started by aetherya_run_study, aetherya_test_copy, aetherya_audit_site, aetherya_plan_study, aetherya_read, aetherya_simulate_post,
• aetherya_get_audit_result Fetch the result of an audit started by aetherya_audit_site, using its job_id. Returns the full simulated behavioral findings once complete, or a 'running' stat
• aetherya_get_brief Turn a finished study, audit, read or post simulation into a short decision brief: the question, a direct answer, the reasoning with supporting simulated reacti
• aetherya_share_result Mint a shareable URL for a completed study, audit or creative comparison so someone without an Aetherya account can read the findings. Use it after aetherya_get
• aetherya_pretest_report Assemble a markdown pretest report (how we worked, one section per set, what the results mean, sealed predictions appendix) from finished simulations. Determini
• aetherya_compare_creatives Compare 2+ image creatives (thumbnails, display banners, social images) against a synthetic audience. Creates the experiment, uploads the images, attaches the a
• aetherya_pretest_video Pretest a short video (mp4, mov, webm; max 512 MB, 10 minutes) against a synthetic audience: hook score, attention curve, drop-off points. Uploads the file (vid
• aetherya_seal_prediction Lock a prediction (a creative comparison ranking, a video analysis, a study or a manual payload) with a SHA-256 hash and timestamp, so it can later be compared
• aetherya_verify_prediction Recompute the hash of a sealed prediction and report whether it still matches the stored one.
• aetherya_record_outcome Attach what actually happened to a sealed prediction (append-only) and get the evaluation. creative_comparison actual: {metric:'ctr', values:[{creativeId?|varia
• aetherya_create_intake_link Create a secret upload link to send a client so they can drop creative files (images, video) for pretesting. Returns the url and expiry; treat the url as a secr
• aetherya_list_intake_files List the files a client uploaded through an intake link (name, type, size, status, set label, a short-lived download url). The feature must be enabled for the w
• aetherya_list_audiences List the synthetic audiences (simulated personas) in this workspace: their overall shape (where they are, what they do, how much is actually filled in) plus a s
• aetherya_create_audience Create synthetic-audience personas to simulate against. Describe who you want to model and get back personas (with ids) you can then target as the 'audience' in

Details

• Version: 1.0.5
• Transports: streamable-http, stdio
• Uptime (7 days): 100%
• Median latency: 814 ms
• First indexed: 2026-11-01T08:49:31.069Z
• Last seen in registry: 2026-11-01T08:49:31.099Z
• Website: https://aetherya.ai

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