OpenSEO
Keyword research, site audits, rank tracking and AI visibility for your AI agent.
Qualitative research with real people: AI-moderated interviews, 4M+ vetted panel, 80+ languages.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
5/5 Prüfungen bestanden · Was du fragst, läuft über den Server des Anbieters (mcp.userintuition.ai) · ✓ Befehle geprüft am 15. Nov. 2026
Zuerst: Welche KI nutzt du?
Wähle deine App, dann erscheinen die Schritte unten.
Klappt mit Claude · etwa 2 Min.
Kein Schlüssel, nichts zu installieren · Einmal auf claude.ai oder in der Desktop-App einrichten, dann im Chat nutzen · kostenlose Konten können 1 hinzufügen · bei Team/Enterprise fügt ein Owner ihn hinzu
CustomizeConnectors
Kopiere jeden Wert in das gleichnamige Feld in Claude und klicke Continue
User Intuitionhttps://mcp.userintuition.ai/mcpKlicke auf der von Claude erkannten Anmelde-Seite auf Continue · wähle bei Authentication, was der Anbieter angibt (Sign in now, Sign in when needed oder No sign in), dann Add
+ConnectorsUser Intuition
Nutze User Intuition und sag mir, was du für mich tun kannst; zeig mir dann eine Sache✓ Wenn Claude sagt, dass es User Intuition nutzt, oder ein Werkzeug von User Intuition in der Antwort zeigt, bist du verbunden
Menünamen am 11. Nov. 2026 mit der Hilfe von Anthropic abgeglichen · dein Bildschirm kann je nach App-Version leicht abweichen
Klappt mit ChatGPT je nach Tarif
Volles MCP: ChatGPT Business, Enterprise oder Edu im Web · Pro: verbindet mit Lese-/Abrufrechten, Werkzeuge, die Daten ändern, gehen evtl. nicht · Plus: in der Doku nicht bestätigt; siehst du auf der Plugins-Seite eine Option für eigene MCP-Server, kannst du es versuchen · nur Web
Plugins+Add custom MCP server
Namen eingeben, Adresse unter Connection einfügen, Risikohinweis abhaken und Create as a plugin klicken
User Intuitionhttps://mcp.userintuition.ai/mcpNeuen Chat öffnen und vor dem Tippen User Intuition aus deinen Plugins wählen
Nutze User Intuition und sag mir, was du für mich tun kannst; zeig mir dann eine Sache✓ Wenn ChatGPT sagt, dass es User Intuition nutzt, oder ein Werkzeug von User Intuition in der Antwort zeigt, bist du verbunden
Menünamen am 11. Nov. 2026 mit der Hilfe von OpenAI abgeglichen · dein Bildschirm kann je nach App-Version leicht abweichen
Klappt mit Claude Code · etwa 2 Min.
Kein Schlüssel, nichts zu installieren
Mac: Command+Leertaste drücken und Terminal tippen · Windows: PowerShell öffnen
claude mcp add --transport http --scope user research https://mcp.userintuition.ai/mcpUser Intuition sollte in der Liste als verbunden erscheinen
Nutze User Intuition und sag mir, was du für mich tun kannst; zeig mir dann eine Sache✓ Wenn Claude Code sagt, dass es User Intuition nutzt, oder ein Werkzeug von User Intuition in der Antwort zeigt, bist du verbunden
Menünamen am 11. Nov. 2026 mit der Hilfe von Anthropic abgeglichen · dein Bildschirm kann je nach App-Version leicht abweichen
Klappt mit Cursor · etwa 2 Min.
Kein Schlüssel, nichts zu installieren
Nutze User Intuition und sag mir, was du für mich tun kannst; zeig mir dann eine Sache✓ Wenn Cursor sagt, dass es User Intuition nutzt, oder ein Werkzeug von User Intuition in der Antwort zeigt, bist du verbunden
Menünamen am 11. Nov. 2026 mit der Hilfe von Cursor abgeglichen · dein Bildschirm kann je nach App-Version leicht abweichen
Klappt mit VS Code · etwa 2 Min.
Kein Schlüssel, nichts zu installieren
VS Code fragt nach einer Bestätigung; klicke Install
Nutze User Intuition und sag mir, was du für mich tun kannst; zeig mir dann eine Sache✓ Wenn VS Code sagt, dass es User Intuition nutzt, oder ein Werkzeug von User Intuition in der Antwort zeigt, bist du verbunden
Menünamen am 11. Nov. 2026 mit der Hilfe von VS Code abgeglichen · dein Bildschirm kann je nach App-Version leicht abweichen
Andere Apps mit MCP, etwa Windsurf, Zed oder Gemini CLI, fügen Server unterschiedlich hinzu. Sieh in der App-Liste nach
Adresse für Apps, die über das Web verbinden
https://mcp.userintuition.ai/mcpJSON-Einstellungen stehen unten unter „Für Entwickler“
Claude Code
claude mcp add --transport http --scope user research https://mcp.userintuition.ai/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"research": {
"url": "https://mcp.userintuition.ai/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"research": {
"type": "http",
"url": "https://mcp.userintuition.ai/mcp"
}
}
}Claude Code
claude mcp add --scope user research -- npx -y @userintuition-ai/mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"research": {
"command": "npx",
"args": [
"-y",
"@userintuition-ai/mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"research": {
"command": "npx",
"args": [
"-y",
"@userintuition-ai/mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"research": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@userintuition-ai/mcp"
]
}
}
}Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
npm: @userintuition-ai/mcpBasierend darauf, wie sich dieser Server verbindet, und auf der eigenen Doku jeder App, geprüft am 10. Nov. 2026.
Verbinden sich über das Internet in
ClaudeChatGPTGooseLM 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
Tool-Namen und -Beschreibungen genau so, wie der Server sie am 15. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.
create_studyStart a qualitative research study with real people: AI-moderated in-depth interviews (user interviews, customer interviews, market research; the moderator probes and ladders, typically 20–30 minutes), concept tests (packaging, claims, ad creative, designs), or prototype tests (c
customize_studyDraft or revise a study's discussion guide, interview questions, screener, and audience from the research brief, one design turn per call. May fetch a researcher-provided concept URL. Clients that support MCP background tasks receive a task for turns without concept_image; wait o
queue_customize_studyQueue one design turn that drafts or revises the study's discussion guide, questions, screener, and audience from the research brief. May fetch a researcher-provided concept URL. Clients that support MCP background tasks receive a task to wait on; other clients receive a job ID a
get_customize_study_jobPoll a queued study customization turn. On succeeded, inspect result and call get_study to return the persisted plan. On failed, inspect the saved study before retrying.
get_studyGet the full persisted study, including the plan, audience targeting, screeners, and concept assets managed by customize_study. Call before metadata updates and after customization to verify the result. After customization, return the complete persisted study_plan to the user in
review_studyOpen an interactive, read-only view of the saved study plan and current fielding progress. The view does not approve a plan or launch recruitment. Ask the human for approval separately before fieldwork.
estimate_panelEstimate the cost and timeline of recruiting real interview participants from User Intuition's 4M+ vetted consumer panel for one study, without spending. Returns per-interview and total cost before any commitment. Read-only estimate for one Panel recruitment cycle. Returns per-in
launch_panelRecruit real interview participants from User Intuition's 4M+ vetted consumer panel. If an owner or admin enabled automatic launches in Wallet, this tool launches one cycle within the workspace cap with a current estimate and idempotency key. Otherwise, the first call previews th
approve_panel_launchMCP App button action. Consumes one short-lived approval challenge, rechecks the saved study and price, then launches one paid panel cycle.
create_participantsInvite people you recruit yourself by email, such as your customers, to a study (BYOP = bring your own participants). Queues creation of 1–100 unique BYOP participants. Poll get_participant_job until succeeded, then list participants. Before creating participants, call get_study,
get_participant_jobPoll a participant batch. On success, list_participants for the study to retrieve the participants.
get_fielding_progressGet qualifying completions versus the current target, completed interview quality counts, and a rate-based expected finish when enough progress exists.
generate_reportQueue an AI analysis of completed interviews into a cited report (findings, themes, quotes). Clients that support MCP background tasks receive a task to wait on; other clients receive a job ID and poll get_report_job. Then call get_study_report. report.ready webhooks also signal
get_report_jobPoll an asynchronous report request. A succeeded job provides result_url; then fetch the report with get_study_report.
get_study_reportRead one study's finished report (findings, themes, quotes); does not answer new questions. Returns a small overview by default. Set view to one section (study_findings, participant_profiles, participant_responses, evidence_coverage, recommended_next_steps, or references), or ful
answer_researchFastest cited answer to one question across selected studies ("why did customers churn?"). For multi-turn follow-ups with clickable quote cards use chat_research_session. Uses indexed research across selected accessible studies. Returns generated statements with numbered citation
search_researchSearch findings, participant responses, and study plans from your User Intuition study reports, across one or more studies. Results are grouped under studies[] with each study_id, index_status (ready, updating, or not_indexed), latest_report_id, indexed_report_id, and matching ca
chat_research_sessionAsk a multi-turn question about your User Intuition studies and get an answer grounded in verified participant quotes. Waits for the answer; use queue_research_chat to return immediately. If still running, returns the same durable job without cancelling it. For findings, feedback
view_research_answerShow the full answer in this MCP chat with clickable verified quotes and original recordings. Use this to display the answer after research chat, rather than linking to an external dashboard. Use after chat_research_session or queue_research_chat; pending jobs can be checked here
list_studiesList lightweight studies, sorted by updated_at descending then ID. Filter before pagination by provisioning status, recruiting method, creation date, or report availability. interview_count is completed visible non-test interviews; use get_study for the full plan, screeners, and
list_organizationsList organizations you can access. Users can belong to multiple organizations. Search by organization name, active owner name, or owner email; returns IDs and owner contacts. Ask the human which organization to use, then supply organization_id on subsequent tools.
get_accountRead the effective workspace, role, billing plan, available credits, payment readiness, and incentive limits. Check the plan before using Intelligence Hub tools. A payment method on file does not approve a Panel launch; use the current estimate and its MCP App for human approval.
update_studyUpdate ordinary study metadata only, such as name, format, language, voice, or incentives. Use customize_study—not this tool—for the research plan, audience targeting, screener questions, concept links, or concept images. Only supplied fields change. Active panel studies must be
delete_studySoft-delete a study and its linked participants, interviews, and reports from normal reads. Participant links stop working. There is no public restore endpoint. Uploaded assets may have separate retention. Call only when the human explicitly requests deletion of this study.
pause_studyPause a study while preserving its panel survey, target cycle, progress, and reward hold.
resume_studyResume a paused study and continue its preserved panel recruitment.
stop_studyStop panel recruitment, close the target cycle, and settle/release the active reward hold. Call only after the human explicitly chooses to end this study's fieldwork.
queue_report_slidesQueue an editable PowerPoint deck from the latest saved report. Common text identifiers are masked by default. Poll get_report_slide_job for a private download URL, which expires after 15 minutes. The export is retained for seven days.
get_report_slide_jobPoll an editable PowerPoint export. A succeeded job returns a fresh private download URL valid for 15 minutes. The export expires after seven days.
list_participantsList participants (BYOP invitations) with each personal interview link, status and visible interview count. These are study participations, not deduplicated people; use list_interviews(participant_id) for the sessions. Panel and open-link respondents are anonymous interviews.
get_participantRead one BYOP participant, including its current status, personal interview link, interview count, and reward state. Use it to verify the participant before changing their email, deleting the participant, or sending a reward. Panel respondents are not returned by this tool.
update_participantChange the email, external customer ID, or customer metadata fields on one BYOP participant. Call get_participant first to verify the intended participant. Send email=null only when the user explicitly wants to clear it. Pass only fields to change.
send_participant_rewardSend the configured incentive to a BYOP participant when the human requests it. Before calling, confirm the participant (get_participant) and the reward amount (byop_config.incentive_amount from get_study) with the user. Reuse idempotency_key on uncertain retries; the backend pre
delete_participantSoft-delete one BYOP participant after the user explicitly requests it. Deletion also removes its personal link. If interviews exist, the request returns a conflict unless the user separately approves deleting those interviews and cascade_interviews is true.
list_interviewsList lightweight interview rows. Fetch an interview to get messages, recordings, and screener responses.
get_interviewGet one interview: transcript, participant details, recording links, screener answers, timing, stored format, current configured study language, and up to 100 spoken transcript segments bounded to about 20 KB of text. Use next_message_offset to fetch the next page. Each segment k
delete_interviewSoft-delete an interview owned by the authenticated user. Call only when the human explicitly requests deletion of this interview.
list_targeting_attributesSearch the panel targeting catalog by name or category. Use its qualification and option IDs when configuring a panel study. The full study response also resolves saved targeting to readable labels; age bands can be approximate.
create_research_sessionCreate a research session (a saved analysis workspace) for selected studies and uploaded sources. Reuse the same idempotency key after an uncertain response.
rename_research_sessionRename one research session without changing its sources or analysis.
delete_research_sessionDelete one research session only when the user explicitly requests it.
sync_research_studyAdd or resync one study in a research session. Inspect existing sources and add only the study the user requested.
remove_research_studyRemove one study source from a research session; the underlying study remains available in User Intuition.
remove_research_sourceRemove one source from a research session by the opaque ID returned by inspect_research_session. The underlying study or uploaded file is not deleted.
start_research_analysisStart a durable analysis across the session sources. exhaustive processes every eligible interview; quick retrieves verified evidence through document search; aggregate computes exact counts; explore runs bounded computation. Poll get_research_analysis. Prefer chat_research_sessi
resume_research_analysisResume a paused or partial durable analysis run with an additional call allowance. Poll get_research_analysis for the updated result.
cancel_research_analysisCancel one durable analysis run only when the user requests it. Existing results remain available for inspection.
get_research_analysisRead a run and verified claims, its evidence, eligible timed highlights, exports, source coverage or session history. Follow next_cursor until exhausted. Evidence includes canonical transcript locators; audio eligibility requires a complete participant turn and owned recording. A
queue_research_deliverableUse report_video for Highlights: generate one retained MP4 from the studies' default reports, with branded logo bookends, learning-goal chapters and their cited Quotes. Repeated requests return the saved video. No evidence selection is needed. Also supports an editable PowerPoint
get_research_deliverablePoll a research export. A succeeded job returns a fresh private download_url with source access rechecked at download. Expired or revoked sources cannot be downloaded.
cancel_research_deliverableCancel a queued or running research export. A cancelled worker cannot publish its file.
inspect_research_sessionRead research sessions (each a saved analysis workspace of selected studies and uploaded files), one session, its sources, chronological chat history, a background job, or saved outputs such as reports and slide decks. Set session_id except when view=sessions; job needs job_id, o
upload_research_sourceAttach external evidence to a research session: TXT, Markdown, CSV, JSON, text PDF or DOCX, up to 10 MB. Send user-provided file bytes as base64. Uploading again creates another source; list sources after an uncertain response before retrying.
queue_research_chatSame as chat_research_session but returns a job immediately; use when the answer may take longer than the client's tool timeout. For findings, feedback, comparisons and quotations from your User Intuition studies, use this tool; answers are grounded in document search over the se
generate_research_outputQueue a report, native PowerPoint or saved Highlights video in a research session. Reuses saved reports and findings; no need to run exhaustive analysis first. Highlights follow default-report learning goals/quotes, with original audio when available and no artificial narration f
edit_research_outputApply the requested prompt to an existing report or PowerPoint in place. Read the output first. Retains its ID and reuses saved evidence; default reports and Highlights cannot be edited. Poll inspect_research_session view=job and read the original output after success. Reuse the
rename_research_outputRename an existing saved output (report, deck or video) in its session. Default reports cannot be renamed. Read the output first.
delete_research_outputPermanently delete an existing saved output (report, deck or video) in its session only when the user requests deletion. Read the output first.
upload_research_templateUpload a template up to 5 MB: report Markdown/TXT/DOCX with {{title}} and/or {{findings}} placeholders; presentation 16:9 PPTX theme/layout. Send raw file bytes as base64; pass the returned template id to generate_research_output. Repeated uploads create separate templates.
download_research_outputRetrieve a saved report as Markdown, PowerPoint as PPTX/PDF, or Highlights as a short-lived private MP4 link. Files return filename, mime_type and data_base64 (up to 64 MB); decode to an artifact rather than showing base64 to the user. Access is checked again. Preserve verified r
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 15. Nov. 2026
Der Registry-Name wurde über die Domain userintuition.ai bestätigt (die Registry prüft, wem die Domain gehört)
Code zuletzt geändert: vor 3 Tagen
Nutzt MIT
Antwort in 156 ms (HTTP 200)
Keine Anmeldung nötig
Wir haben 60 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden
Keine Einträge auf OSV.dev für @userintuition-ai/mcp@1.6.3
Prüft nur diese Paketversion, nicht alle Abhängigkeiten · geprüft 15. Nov. 2026
Fragen, Tipps teilen oder melden, dass etwas nicht geht. Sortiert nach „hilfreich“.
Noch keine Beiträge. Stell die erste Frage oder teile einen Tipp.
Beiträge hier stammen von Nutzern, nicht vom PopNx-Team.
Noch keine Bewertungen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 5 von 5 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Beides geht: Installiere ihn auf deinem Computer oder verbinde dich mit der Cloud-Version.
Das GitHub-Repo wurde zuletzt vor 3 Tagen geändert, und die neueste Version (1.6.3) kam vor 5 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL und funktioniert daher auch in Apps mit Remote-MCP, etwa ChatGPT im Web (volles MCP ab Business; Pro nur lesend).
In derselben Kategorie: OpenSEO, Exa, Mockserver, Microsoft Learn MCP, Docs
Gleiche Kategorie, andere Entwickler, Befehle bereits geprüft. Offizielle zuerst, dann nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Keyword research, site audits, rank tracking and AI visibility for your AI agent.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.
Official Microsoft Learn MCP Server – real-time, trusted docs & code samples for AI and LLMs.
Search and read Empryo's documentation. Read-only, no auth, no local access.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
Qualitative research with real people: AI-moderated interviews, 4M+ vetted panel, 80+ languages. Run user interviews, customer interviews, concept tests and prototype tests from your AI agent.
Ask your agent to run a concept test with 20 frozen-dinner buyers, find out why shoppers trade down to a store brand, or learn why trial users of your app don't activate. It drafts the study, shows you the plan and the cost, and once you confirm, it fields AI-moderated interviews (typically 20–30 minutes) and returns findings with verbatim quotes. Interviews ladder 5–7 levels deep, from what people did to why it matters to them. Participants come from a vetted 4M+ consumer panel or from your own customers, by voice, chat or video in 80+ languages. No account yet? Ask for help with any research question: the user-research skill plans the study or synthesizes research you already have, then fields it with real people when you're ready.
These are Agent Skills for running qualitative research with User Intuition: create interview studies, design screeners, field panel recruits, and turn transcripts into stakeholder-ready findings. The plugin bundles the hosted User Intuition MCP server for the *tools* and the skills for the *play*: the workflow, guardrails, and order of operations that make research runs reproducible.
Works with: Claude Code (plugin), Claude Desktop and claude.ai (connector and skill ZIPs), ChatGPT (plugin), Codex, Cursor, and any agent that reads Agent Skills.
Guides: Set up User Intuition in Claude · Skills docs · How quality is controlled · Pricing
This is the shape of a run. The prompt is illustrative; the findings come from the public Walmart shopper study.
Every surface uses the same hosted MCP server (https://mcp.userintuition.ai/mcp, browser sign-in) and the same skill files. After installing, ask your agent: "Help me get started with User Intuition." The setup skill checks the connection and routes you to the right workflow.
| Agent | Skills | MCP connection |
|---|---|---|
| Claude Code | /plugin marketplace add user-intuition/skills, then /plugin install user-intuition-research@user-intuition | Bundled with the plugin. Run /mcp, select user-intuition, and sign in. |
| Claude Desktop / claude.ai | Download a skill ZIP from Releases and upload it in Settings → Capabilities → Skills. One ZIP per skill; the bundle ZIP holds all of them. | Settings → Connectors → add a custom connector with https://mcp.userintuition.ai/mcp. |
| Codex | npx skills add user-intuition/skills -a codex | codex mcp add user-intuition --url https://mcp.userintuition.ai/mcp, then codex mcp login user-intuition. |
| Cursor | Install the plugin defined in .cursor-plugin/plugin.json, or npx skills add user-intuition/skills -a cursor | Bundled with the plugin, or add https://mcp.userintuition.ai/mcp under Settings → MCP. Sign in when prompted. |
| ChatGPT | Install User Intuition from the ChatGPT plugin directory in one click. The skills ship inside the plugin. | Bundled with the plugin. Sign in when prompted. Without the plugin, add https://mcp.userintuition.ai/mcp as a custom MCP connector in Settings → Apps & Connectors (developer mode). |
| Any other agent | npx skills add user-intuition/skills (pick your agent when asked, or pass -a ) | Add https://mcp.userintuition.ai/mcp as a remote MCP server in your client. |
Install a single skill with npx skills add user-intuition/skills -s create-study-from-brief. To build the Desktop ZIPs yourself, run node scripts/build-desktop-zip.mjs (output in dist/).
Each skill is a standalone Markdown file under plugins/user-intuition-research/skills/ /SKILL.md. You can also tell your agent:
Fetch https://raw.githubusercontent.com/user-intuition/skills/main/catalog.json, select the workflow needed for the task, and fetch its raw
SKILL.md. Install it in the skill directory supported by your agent client.
The Claude plugin includes the hosted MCP connection:
https://mcp.userintuition.ai/mcp
After installing the plugin, open /mcp, select user-intuition, and complete the browser-based OAuth flow. Claude stores and refreshes the resulting token securely.
If you prefer a local stdio connection instead of the bundled hosted connection, disable the plugin-provided MCP and use:
claude mcp add userintuition -- npx -y @userintuition-ai/mcp@latest
with USERINTUITION_API_KEY set (get a key from your dashboard).
| Skill | Outcome |
|---|---|
setup | Check the connection, ask what you want to learn, and route to the right workflow |
user-research | Plan a study or synthesize research you already have, no account needed; then field it with real people |
interview-category-shoppers | Interview category or brand shoppers recruited from the consumer panel by what they buy |
interview-brand-switchers | Hear why shoppers switched brands or traded down, recruited from the consumer panel |
map-shopper-journey | Map the path to purchase, from trip trigger to shelf or page to first use |
run-usage-and-attitudes | Usage and attitudes: occasions, habits, needs, and brand repertoire |
interview-recent-buyers | Interview people who just bought, from Shopify or any store's orders |
interview-lapsed-customers | Find customers who stopped buying and hear why |
interview-cancellations | Interview subscribers soon after they cancel, from Stripe or any billing data |
run-win-loss | Interview buyers on closed won and lost deals from HubSpot or any CRM |
investigate-drop-off | Interview the people behind a funnel drop-off from your analytics tool |
create-study-from-brief | Turn a research brief into a launch-ready interview study |
design-screeners | Recruit exactly the right respondents — panel and custom screeners, done safely |
field-a-panel | Recruit N respondents from the panel, with cost approved before any spend |
invite-your-own-participants | Interview your own customers — invites, share links, and rewards |
run-a-concept-test | Put a concept, prototype, or landing page in front of participants |
monitor-fielding | Daily digest of every fielding study — progress, quality, stalls |
analyze-completed-study | From transcripts to stakeholder-ready findings, with real quotes only |
curate-interview-quality | Review low-quality interviews and delete only the exact interviews the user confirms |
retrieve-study-results | Read an existing report and follow source references without regeneration |
search-research | Find authorized prior evidence and inspect coverage and sources |
The original eight fielding and analysis workflows retain their validated MCP behavior. Retrieval and search use current tool/schema discovery; illustrative B2/C1 adapters still require release verification. Check any named tool yourself:
npx -y @userintuition-ai/mcp describe create_study
Catalog: names, descriptions, raw file URLs, documentation URLs, and SHA-256 digests. Each skill is independently fetchable; loading the catalog does not require loading every workflow.
Maintainer workflow (catalog, tests, docs and website export) is in CONTRIBUTING.md. Release notes are in CHANGELOG.md.
MIT