Aetherya

Installation

Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.

2/3 Prüfungen bestanden · Was du fragst, läuft über den Server des Anbieters (mcp.aetherya.ai)

Welche Apps ihn nutzen können

Basierend darauf, wie sich dieser Server verbindet, und auf der eigenen Doku jeder App, geprüft am 10. Nov. 2026.

Verbinden sich über das Internet in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

Laufen auf deinem Computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

Alle Apps, mit Vor- und Nachteilen →

Was er kann

Tool-Namen und -Beschreibungen genau so, wie der Server sie am 12. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen 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

Basischecksi

Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 13. Nov. 2026

• ! Vorsicht

  Entwickler passt zum Repo

  Die Registry nennt kein Quell-Repo, deshalb können wir den Herausgeber (aetherya.ai) nicht dem Code zuordnen

• … Noch nicht geprüft

  Wird noch gepflegt

  Dieses Repo haben wir noch nicht von GitHub gelesen

• … Noch nicht geprüft

  Hat eine Lizenz

  Dieses Repo haben wir noch nicht von GitHub gelesen

• ✓ Bestanden

  Endpunkt antwortet

  Antwort in 121 ms (HTTP 200)

• – Nicht zutreffend

  Anmeldung mit OAuth

  Keine Anmeldung nötig

• ✓ Bestanden

  Keine versteckten Anweisungen in Tool-Beschreibungen

  Wir haben 27 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden

Nutzerbewertungen

Noch keine Bewertungen

Mit Google anmelden, um zu bewerten

Im Vergleich mit anderen in Marketing & Social Mediai

• Mehr Sterne als 0 % der anderen 3882 Server in dieser Kategorie
• Neuer in der Registry veröffentlicht als 55 % der anderen 3882 Server in dieser Kategorie
• Basischecks gleich gut wie oder besser als bei 55 % der anderen 3882 Server in dieser Kategorie

Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.

Andere in derselben Kategorie

Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.

So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti

PostHog MCP Server

Official PostHog MCP Server for product analytics, feature flags, experiments, and more.

von PostHog·Weit verbreitet·★ 40.758 Sterne des ganzen Repos·Aktualisiert vor 10 Monaten

Läuft in der Cloud

Verbinden

Openshorts

Turn long videos into viral vertical shorts and publish them to TikTok, Instagram and YouTube.

von mutonby·Weit verbreitet·★ 7941·Aktualisiert vor 3 Monaten

Läuft in der Cloud

Verbinden

Google Ads + Meta Ads + SEO/GEO MCP

Google Ads, Meta Ads, Google Analytics (GA4) & Search Console MCP server by Ryze AI

von irinabuht12-oss·Weit verbreitet·★ 7503·Aktualisiert vor 32 Tagen

Läuft in der Cloud

Verbinden

README vom Entwickler

Keine README im Repo gefunden