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PopNx MCPMCP-Server für alle, die KI nutzen · in einfachen Worten erklärt

User Intuition

von user-intuitionVersion 1.6.3i★ 0iComputer oder Cloud
Name in der Registryai.userintuition/research

So installierst du es

What it does

Qualitative research with real people: AI-moderated interviews, 4M+ vetted panel, 80+ languages.

  • Connects Computer oder Cloud
  • Account or key No key needed
  • Category Suche & KI-Gedächtnis

Installation

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

  1. Öffne die Connectors-Seite von Claude

    CustomizeConnectors

    CustomizeConnectors1Add2https://…3Add4
  2. Klicke „Add“ → „Custom“ → „Web“ und fülle diese 2 Felder aus

    Kopiere jeden Wert in das gleichnamige Feld in Claude und klicke Continue

    Name · NameUser Intuition
    Remote MCP server URL · Adressehttps://mcp.userintuition.ai/mcp

    Klicke 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

  3. Im Chat einschalten

    +ConnectorsUser Intuition

  4. Ausprobieren

    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

  1. In ChatGPT im Web die Seite zum Hinzufügen von MCP öffnen

    Plugins+Add custom MCP server

    ChatGPTPlugins1+2https://…3Create4
  2. Name und Adresse eintragen

    Namen eingeben, Adresse unter Connection einfügen, Risikohinweis abhaken und Create as a plugin klicken

    Name · NameUser Intuition
    Connection · Adressehttps://mcp.userintuition.ai/mcp
  3. User Intuition im Chat auswählen

    Neuen Chat öffnen und vor dem Tippen User Intuition aus deinen Plugins wählen

  4. Ausprobieren

    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

  1. Terminal öffnen

    Mac: Command+Leertaste drücken und Terminal tippen · Windows: PowerShell öffnen

  2. Diesen Befehl einfügen und Enter drücken

    claude mcp add --transport http --scope user research https://mcp.userintuition.ai/mcp
  3. /mcp in Claude Code eingeben

    User Intuition sollte in der Liste als verbunden erscheinen

  4. Ausprobieren

    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

  1. Mit diesem Button Cursor öffnen

    In Cursor öffnen

    Cursor fragt nach einer Bestätigung; klicke Install

  2. KI-Chat in Cursor im Agent-Modus öffnen

  3. Ausprobieren

    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

  1. Mit diesem Button VS Code öffnen

    In VS Code öffnen

    VS Code fragt nach einer Bestätigung; klicke Install

  2. KI-Chat in VS Code im Agent-Modus öffnen

  3. Ausprobieren

    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

Alle Apps mit MCP ansehen →

Adresse für Apps, die über das Web verbinden

Adressehttps://mcp.userintuition.ai/mcp

JSON-Einstellungen stehen unten unter „Für Entwickler“

Hängst du fest? Frag Leute, die User Intuition nutzen💬 Diskussion →
Für Entwickler: Terminal-Befehle und JSON-Einstellungen

Über das Web

Claude Code

claude mcp add --transport http --scope user research https://mcp.userintuition.ai/mcp

Cursor (~/.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"
    }
  }
}

Auf deinem Computer installiert

Claude Code

claude mcp add --scope user research -- npx -y @userintuition-ai/mcp

Claude 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.

Auf einen Blick

Downloads pro Wochei
378/Wo.
Bestätigte Domain
✓ userintuition.ai
Verbindung
Computer oder Cloud
Transport
stdio, streamable-http
Neueste Versioni
1.6.3
In der Registry veröffentlichti
10. Nov. 2026
Code zuletzt geänderti
12. Nov. 2026
Entwickler
user-intuition
Pakete
npm: @userintuition-ai/mcp
Registry-Status
Aktiv

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

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

Alle Apps, mit Vor- und Nachteilen →

Was er kann

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_study

    Start 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_study

    Draft 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_study

    Queue 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_job

    Poll 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_study

    Get 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_study

    Open 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_panel

    Estimate 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_panel

    Recruit 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_launch

    MCP App button action. Consumes one short-lived approval challenge, rechecks the saved study and price, then launches one paid panel cycle.

  • create_participants

    Invite 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_job

    Poll a participant batch. On success, list_participants for the study to retrieve the participants.

  • get_fielding_progress

    Get qualifying completions versus the current target, completed interview quality counts, and a rate-based expected finish when enough progress exists.

  • generate_report

    Queue 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_job

    Poll an asynchronous report request. A succeeded job provides result_url; then fetch the report with get_study_report.

  • get_study_report

    Read 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_research

    Fastest 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_research

    Search 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_session

    Ask 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_answer

    Show 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_studies

    List 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_organizations

    List 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_account

    Read 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_study

    Update 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_study

    Soft-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_study

    Pause a study while preserving its panel survey, target cycle, progress, and reward hold.

  • resume_study

    Resume a paused study and continue its preserved panel recruitment.

  • stop_study

    Stop 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_slides

    Queue 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_job

    Poll an editable PowerPoint export. A succeeded job returns a fresh private download URL valid for 15 minutes. The export expires after seven days.

  • list_participants

    List 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_participant

    Read 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_participant

    Change 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_reward

    Send 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_participant

    Soft-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_interviews

    List lightweight interview rows. Fetch an interview to get messages, recordings, and screener responses.

  • get_interview

    Get 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_interview

    Soft-delete an interview owned by the authenticated user. Call only when the human explicitly requests deletion of this interview.

  • list_targeting_attributes

    Search 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_session

    Create a research session (a saved analysis workspace) for selected studies and uploaded sources. Reuse the same idempotency key after an uncertain response.

  • rename_research_session

    Rename one research session without changing its sources or analysis.

  • delete_research_session

    Delete one research session only when the user explicitly requests it.

  • sync_research_study

    Add or resync one study in a research session. Inspect existing sources and add only the study the user requested.

  • remove_research_study

    Remove one study source from a research session; the underlying study remains available in User Intuition.

  • remove_research_source

    Remove 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_analysis

    Start 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_analysis

    Resume a paused or partial durable analysis run with an additional call allowance. Poll get_research_analysis for the updated result.

  • cancel_research_analysis

    Cancel one durable analysis run only when the user requests it. Existing results remain available for inspection.

  • get_research_analysis

    Read 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_deliverable

    Use 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_deliverable

    Poll 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_deliverable

    Cancel a queued or running research export. A cancelled worker cannot publish its file.

  • inspect_research_session

    Read 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_source

    Attach 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_chat

    Same 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_output

    Queue 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_output

    Apply 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_output

    Rename an existing saved output (report, deck or video) in its session. Default reports cannot be renamed. Read the output first.

  • delete_research_output

    Permanently delete an existing saved output (report, deck or video) in its session only when the user requests deletion. Read the output first.

  • upload_research_template

    Upload 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_output

    Retrieve 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

Basischecksi

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

  • ✓ Bestanden

    Entwickler passt zum Repo

    Der Registry-Name wurde über die Domain userintuition.ai bestätigt (die Registry prüft, wem die Domain gehört)

  • ✓ Bestanden

    Wird noch gepflegt

    Code zuletzt geändert: vor 3 Tagen

  • ✓ Bestanden

    Hat eine Lizenz

    Nutzt MIT

  • ✓ Bestanden

    Endpunkt antwortet

    Antwort in 156 ms (HTTP 200)

  • – Nicht zutreffend

    Anmeldung mit OAuth

    Keine Anmeldung nötig

  • ✓ Bestanden

    Keine versteckten Anweisungen in Tool-Beschreibungen

    Wir haben 60 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden

Veröffentlichte Schwachstellen (OSV.dev)

Keine Einträge auf OSV.dev für @userintuition-ai/mcp@1.6.3

Prüft nur diese Paketversion, nicht alle Abhängigkeiten · geprüft 15. Nov. 2026

Was wir prüfen → · JSON

Entwickler: neue Prüfung anfordern oder falsche Angaben melden

Diskussion

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.

Anmelden, um zu posten

Nutzerbewertungen

Noch keine Bewertungen

Anmelden, um eine Bewertung zu schreiben

Im Vergleich mit anderen in Suche & KI-Gedächtnisi

  • Mehr Sterne als 0 % der anderen 6167 Server in dieser Kategorie
  • Neuer in der Registry veröffentlicht als 88 % der anderen 6167 Server in dieser Kategorie
  • Basischecks gleich gut wie oder besser als bei 100 % der anderen 6167 Server in dieser Kategorie

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

Häufige Fragen

Ist User Intuition sicher?

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.

Welche Schlüssel oder Codes braucht er?

Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.

Läuft er auf meinem Computer oder in der Cloud?

Beides geht: Installiere ihn auf deinem Computer oder verbinde dich mit der Cloud-Version.

Wird er noch gepflegt?

Das GitHub-Repo wurde zuletzt vor 3 Tagen geändert, und die neueste Version (1.6.3) kam vor 5 Tagen in die Registry.

Welche Apps können ihn nutzen?

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).

Was kann ich stattdessen nutzen?

In derselben Kategorie: OpenSEO, Exa, Mockserver, Microsoft Learn MCP, Docs

Ähnliche Alternativen

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

OpenSEO

Keyword research, site audits, rank tracking and AI visibility for your AI agent.

von every-appWeit verbreitet★ 27.703Aktualisiert gestern

Läuft in der Cloud✓ everyapp.com

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

von exa-labsWeit verbreitet★ 5232Aktualisiert vor 2 Monaten

Läuft in der Cloud✓ vom Dienst · exa.aiVom PopNx-Team ausprobiert

Mockserver

Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.

von mock-serverWachsend★ 5011Aktualisiert vor 19 Tagen

Läuft auf deinem Computer✓ vom Dienst · mock-server.com

Microsoft Learn MCP

Official Microsoft Learn MCP Server – real-time, trusted docs & code samples for AI and LLMs.

von MicrosoftDocsWeit verbreitet★ 1992Aktualisiert vor 12 Monaten

Läuft in der Cloud✓ vom Dienst · microsoft.comVom PopNx-Team ausprobiert

Docs

Search and read Empryo's documentation. Read-only, no auth, no local access.

von proxysoulWachsend★ 1614Aktualisiert vor 2 Monaten

Läuft in der Cloud✓ empryo.com
  • OpenSEO — Läuft in der Cloud, keine Installation · Kein Schlüssel nötig
  • Exa — Läuft in der Cloud, keine Installation · Kein Schlüssel nötig · Im Verzeichnis von Claude
  • Mockserver — Wird auf deinem Rechner installiert · Kein Schlüssel nötig
  • Microsoft Learn MCP — Läuft in der Cloud, keine Installation · Kein Schlüssel nötig · Im Verzeichnis von Claude
  • Docs — Läuft in der Cloud, keine Installation · Kein Schlüssel nötig

README vom Entwickler

README öffnen

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.

User Intuition: run real qualitative research from your AI agent

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

Example run

This is the shape of a run. The prompt is illustrative; the findings come from the public Walmart shopper study.

  1. Prompt. "Find out where Walmart shoppers get stuck on a trip, and whether it changes whether they come back."
  2. Saved plan. The agent drafts the study from the brief (audience, screener, discussion guide) and shows you the saved plan before anything is fielded.
  3. Estimate. For a panel study it gets a quote and stops. Nothing launches, and nothing is spent, until you approve the plan and the quote. The cost depends on audience and size; see pricing.
  4. Findings excerpt. From 43 interviewed shoppers, each finding linked back to what participants said:
  • 34 of 43 hit at least one obstacle on their trip.
  • 36 of 43 will shop there again.
  • The shelf carried 20 of 51 friction moments.
  • 19 of 43 named the shelf as the moment that shaped the trip.

Install

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.

AgentSkillsMCP connection
Claude Code/plugin marketplace add user-intuition/skills, then /plugin install user-intuition-research@user-intuitionBundled with the plugin. Run /mcp, select user-intuition, and sign in.
Claude Desktop / claude.aiDownload 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.
Codexnpx skills add user-intuition/skills -a codexcodex mcp add user-intuition --url https://mcp.userintuition.ai/mcp, then codex mcp login user-intuition.
CursorInstall the plugin defined in .cursor-plugin/plugin.json, or npx skills add user-intuition/skills -a cursorBundled with the plugin, or add https://mcp.userintuition.ai/mcp under Settings → MCP. Sign in when prompted.
ChatGPTInstall 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 agentnpx 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/).

Raw files

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.

Connect your account

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).

The skills

SkillOutcome
setupCheck the connection, ask what you want to learn, and route to the right workflow
user-researchPlan a study or synthesize research you already have, no account needed; then field it with real people
interview-category-shoppersInterview category or brand shoppers recruited from the consumer panel by what they buy
interview-brand-switchersHear why shoppers switched brands or traded down, recruited from the consumer panel
map-shopper-journeyMap the path to purchase, from trip trigger to shelf or page to first use
run-usage-and-attitudesUsage and attitudes: occasions, habits, needs, and brand repertoire
interview-recent-buyersInterview people who just bought, from Shopify or any store's orders
interview-lapsed-customersFind customers who stopped buying and hear why
interview-cancellationsInterview subscribers soon after they cancel, from Stripe or any billing data
run-win-lossInterview buyers on closed won and lost deals from HubSpot or any CRM
investigate-drop-offInterview the people behind a funnel drop-off from your analytics tool
create-study-from-briefTurn a research brief into a launch-ready interview study
design-screenersRecruit exactly the right respondents — panel and custom screeners, done safely
field-a-panelRecruit N respondents from the panel, with cost approved before any spend
invite-your-own-participantsInterview your own customers — invites, share links, and rewards
run-a-concept-testPut a concept, prototype, or landing page in front of participants
monitor-fieldingDaily digest of every fielding study — progress, quality, stalls
analyze-completed-studyFrom transcripts to stakeholder-ready findings, with real quotes only
curate-interview-qualityReview low-quality interviews and delete only the exact interviews the user confirms
retrieve-study-resultsRead an existing report and follow source references without regeneration
search-researchFind 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

Machine discovery

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.

Contributing

Maintainer workflow (catalog, tests, docs and website export) is in CONTRIBUTING.md. Release notes are in CHANGELOG.md.

Docs

License

MIT