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PopNx MCPMCP servers for people who use AI · explained in plain words

Aetherya

by aetherya.aiversion 1.0.5i★ –iComputer or cloud
Registry nameai.aetherya/mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Computer or cloud
  • Transport: stdio, Streamable HTTP
  • Category: Marketing & social media
  • You need to fill in: AETHERYA_API_KEY, Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 2 of 3 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • Can do 27 things (tools) aetherya_list_capabilities, aetherya_estimate, aetherya_plan_study, aetherya_confirm_study …
  • You fill in yourself: AETHERYA_API_KEY, Authorization

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add --transport http aetherya https://mcp.aetherya.ai/mcp --header 'Authorization: your-value'

Or run it on your computer

claude mcp add aetherya --env AETHERYA_API_KEY=your-value -- npx -y @aetherya/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "aetherya": {
      "url": "https://mcp.aetherya.ai/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "aetherya": {
      "type": "http",
      "url": "https://mcp.aetherya.ai/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "aetherya": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@aetherya/mcp"
      ],
      "env": {
        "AETHERYA_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • AETHERYA_API_KEY secret required env
    Aetherya API key (aeth_live_...) from app.aetherya.ai, Settings, API keys
  • Authorization secret required HTTP header
    Bearer followed by your Aetherya API key (aeth_live_...)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain 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 balance. Call this before aetherya_run_study or aetherya_test_copy to pick a method and check cost headroom. Everything Aether

  • 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 simulation. Use it to size an audience or shorten a study when headroom is tight.

  • 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 decision brief. Use this when you do not already know which research method fits; use aetherya_run_study when you do. It can

  • 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 simulation sessions are spent, so check with the user first. Use 'answer' to reply to the clarifying questions (answers

  • 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 propensity, its lift over the control, and which demographic archetypes favour it. A variant can be copy (text), a live pag

  • 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 segment breakdowns, objections and representative reactions. Call aetherya_list_capabilities first to pick a method and

  • 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 propensity, comprehension and trust per variant, plus the objections each raises. Results are SIMULATED predicted reactions,

  • 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 and UX friction findings with concrete fixes. Ideal for evaluating a freshly built or changed page and getting actionable

  • 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, or leave). Reports the exit split per arm. Pass rewrites to compare a changed ad and page copy against the original on

  • 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 like this?' sounding-out. The answer is SIMULATED (one persona's predicted reaction), not a real person, and ONE persona

  • 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 publishing. Starts the run and waits briefly; collect with aetherya_get_result kind 'post_simulation'. Results are SIMUL

  • 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 inputs. Finished runs are not affected.

  • 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 aetherya_get_result or aetherya_get_brief. Use it to find earlier work instead of re-running it.

  • 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_compare_creatives, aetherya_pretest_video or aetherya_test_flow, using the kind and id from that tool's respons

  • 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' status to poll again. Results are SIMULATED predicted behavior, not real users.

  • 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 reactions, the risks, and what to do next. This is what you hand a human — use it instead of relaying raw metrics. Reuses the

  • 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_brief when the user wants to send the results to a colleague or client, or post them. The link is PUBLIC to anyone who

  • 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. Deterministic unless generateFixes is true (then the model drafts fixes and a one-line summary per set, if enabled on the account

  • aetherya_compare_creatives

    Compare 2+ image creatives (thumbnails, display banners, social images) against a synthetic audience. Creates the experiment, uploads the images, attaches the audience and drafts the comparison (free). It then returns status 'needs_price_confirmation' with the quoted simulation s

  • 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 (video_path on this machine, or video_url), splits it into scenes, then returns status 'needs_price_confirmation' with the q

  • 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 with what really happened. Pass source_id to seal a finished simulation, or payload for a manual prediction. Returns the

  • 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?|variant?, value, impressions?, clicks?}]}; impressions and clicks let Aetherya record the result for calibration (see calibra

  • 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 secret and share it only with the client. Needs a workspace admin or manager, and the feature must be enabled for the worksp

  • 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 workspace.

  • 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 sample with ids. These are simulated personas, not real people, and a stored persona pool is usually narrower than the au

  • 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 aetherya_audit_site, aetherya_test_copy, or aetherya_ask_audience. These are SIMULATED personas (engine-generated), not

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ! Caution

    Maker matches the repo

    The registry lists no source repo, so we cannot match the publisher (aetherya.ai) to the code

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 672 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 27 tool descriptions and found no hidden instructions to the AI

Compared with others in Marketing & social mediai

  • More stars than 0% of the other 3589 servers in this category
  • Published to the registry more recently than 61% of the other 3589 servers in this category
  • Basic checks equal to or better than 50% of the other 3589 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Aetherya safe?

It passed 2 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: AETHERYA_API_KEY, Authorization

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.5) reached the registry 19 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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README from the maker

No README found in the repo

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