cookiy

AI-powered user research MCP server for creating studies, generating discussion guides, running AI interviews, recruiting participants, and sharing insight reports.

Cookiy Skill

Turn Claude Code, Codex, Cursor, VS Code / GitHub Copilot, Windsurf, Cline, OpenClaw, Manus, and other MCP clients into AI user-research operators that can create studies, run interviews, recruit participants, and deliver report links from plain-English prompts.

This repository now has two layers:

  • a protected production surface for the current public cookiy skill and MCP install flow
  • an additive open library of prompts, references, templates, and examples for user research

The install and indexing surface stays stable while the library grows around it.

The public installer package now acts as a bootstrap CLI:

  1. on supported clients, it installs a local Cookiy skill copy
  2. then it configures MCP
  3. on unsupported clients, it falls back to MCP-only setup

What You Get In This Repo Today

This repo already includes concrete user-research materials, not just install docs.

Material typeWhat is included nowWhat it is for
Installable runtime skillcookiy skill + MCP install surfaceConnect an agent to Cookiy and run the live study/interview/recruit/report workflow
Public installer packagepackages/cookiy-mcp/Source for the cookiy-mcp bootstrap CLI and Homebrew build artifacts
Study-brief promptsprompts/study-briefs/discovery-study.mdTurn a vague founder or product question into a stronger study brief
Interview-guide promptsprompts/interview-guides/problem-exploration.mdDraft better exploratory interview sections, probes, and evidence goals
Synthesis promptsprompts/synthesis/evidence-first-synthesis.mdConvert raw notes, transcripts, survey comments, or support inputs into findings
Stakeholder readout promptsprompts/stakeholder-readouts/executive-summary.mdTurn findings into concise founder/PM/stakeholder summaries
Research method referencesreferences/methods/research-method-selector.md, references/methods/thematic-analysis.mdChoose the right method and synthesize qualitative evidence better
Reusable templatesreferences/templates/research-plan-template.md, references/templates/insight-card-template.mdStandardize research planning and finding documentation
Book-ingestion guidancereferences/books/README.mdTurn books into agent-usable notes without uploading copyrighted content
Worked examplesexamples/study-briefs/saas-onboarding-friction.md, examples/readouts/mobile-checkout-friction.mdShow what good study briefs and research readouts look like
Repo governance docsdocs/PLATFORM_COMPATIBILITY.md, docs/CONTENT_POLICY.md, docs/THIRD_PARTY_ATTRIBUTIONS.md, docs/ROADMAP.mdKeep public platform compatibility stable and define how the library should grow

Materials By Use Case

If you are here for a specific kind of material, start here:

  • To plan a study:
    • prompts/study-briefs/discovery-study.md
    • references/templates/research-plan-template.md
    • examples/study-briefs/saas-onboarding-friction.md
  • To maintain the public installer package:
    • packages/cookiy-mcp/package.json
    • packages/cookiy-mcp/README.md
    • packages/cookiy-mcp/scripts/generate-homebrew-formula.mjs
    • docs/contract-source.json
  • To write or improve interview guides:
    • prompts/interview-guides/problem-exploration.md
    • references/methods/research-method-selector.md
  • To analyze research data:
    • prompts/synthesis/evidence-first-synthesis.md
    • references/methods/thematic-analysis.md
    • references/templates/insight-card-template.md
  • To write readouts for founders or PMs:
    • prompts/stakeholder-readouts/executive-summary.md
    • examples/readouts/mobile-checkout-friction.md
  • To build a learning library safely:
    • references/books/README.md
    • docs/CONTENT_POLICY.md
    • docs/THIRD_PARTY_ATTRIBUTIONS.md

30-Second Demo

# Install Cookiy for your AI client
npx cookiy-mcp --client codex -y

# Then ask your agent:
"Create a 6-participant checkout-abandonment study in English."
"Run 3 simulated interviews with price-sensitive mobile shoppers."
"Share the report link as soon as a preview is ready."

What happens:

  • Cookiy creates the study and discussion guide inside your agent workflow.
  • It runs or monitors interviews and recruitment through the MCP tool chain.
  • It returns transcripts, status updates, and share links without leaving chat.

3 Real Examples

Use caseAsk your agentWhat Cookiy does
Ecommerce checkout drop-off"Create a 6-participant study to understand why mobile shoppers abandon checkout after shipping costs appear."Creates the study, generates the guide, and highlights sample size, interview mode, and duration for review.
SaaS onboarding friction"Run 5 simulated interviews with first-time admins setting up SSO for the first time."Queues AI interviews, polls status, and returns transcripts for early signal before spending on real participants.
Concept validation with real users"Recruit bilingual parents in the US for 8 short interviews about a children's learning app, then share the report link when ready."Previews targeting and pricing, launches recruitment after confirmation, tracks progress, and returns the report share link when available.

Quick Install

Claude Code

Install as a plugin directly in Claude Code:

claude plugin add cookiy-ai/cookiy-skill

Or install the MCP server standalone:

npx cookiy-mcp --client claudeCode -y

Codex

npx skills add cookiy-ai/cookiy-skill

Or install the MCP server directly:

npx cookiy-mcp --client codex -y

OpenClaw

clawhub install cookiy  # Skill only, not MCP

This installs the Cookiy skill only. To connect OpenClaw to Cookiy's live MCP tools, install the MCP server separately:

Or install the MCP server directly:

npx cookiy-mcp --client openclaw -y

VS Code / GitHub Copilot

npx cookiy-mcp --client vscode -y

Windsurf

npx cookiy-mcp --client windsurf -y

Cline

npx cookiy-mcp --client cline -y

Manus

npx cookiy-mcp --client manus -y

This writes a resumable headless OAuth helper bundle under ~/.mcp/<server>/ for Manus-style sandbox environments.

Cursor

Install from the Cursor Marketplace, or manually:

npx cookiy-mcp --client cursor -y

Any platform with Node.js

npx cookiy-mcp -y

The installer auto-detects installed AI clients. On supported clients, it installs a local Cookiy skill copy first and then configures MCP. Other clients fall back to MCP-only setup.

macOS with Homebrew

brew install cookiy-ai/tap/cookiy && cookiy -y

Verification Matrix

Validation note: rows below reflect direct cookiy-mcp CLI dry-runs against the live installer contract.

ClientDirect install commandLocal validation statusLast verified
Claude Codenpx cookiy-mcp --client claudeCode -yCLI dry-run verified, client detected locally2026-03-17
Codexnpx cookiy-mcp --client codex -yCLI dry-run verified, client detected locally2026-03-17
Cursornpx cookiy-mcp --client cursor -yCLI dry-run verified, client detected locally2026-03-17
GitHub Copilot / VS Codenpx cookiy-mcp --client vscode -yCLI dry-run verified, client detected locally2026-03-17
OpenClawnpx cookiy-mcp --client openclaw -yCLI dry-run verified, client detected locally2026-03-17
Windsurfnpx cookiy-mcp --client windsurf -yCLI dry-run verified via forced client selection2026-03-17
Clinenpx cookiy-mcp --client cline -yCLI dry-run verified via forced client selection2026-03-17
Manusnpx cookiy-mcp --client manus -yCLI dry-run verified via forced client selection2026-03-17

Public Surface

These install and discovery surfaces remain the protected runtime contract for this repository:

  • GitHub skill repo: cookiy-ai/cookiy-skill
  • Skills CLI: npx skills add cookiy-ai/cookiy-skill
  • Claude plugin: claude plugin add cookiy-ai/cookiy-skill
  • ClawHub skill install: clawhub install cookiy (skill only, not MCP)
  • npm MCP installer: cookiy-mcp
  • Homebrew Tap: cookiy-ai/homebrew-tap
  • Official MCP Registry: ai.cookiy/cookiy
  • MCP endpoint: https://s-api.cookiy.ai/mcp

Protected files and compatibility rules are documented in docs/PLATFORM_COMPATIBILITY.md.

What Is In This Repo

cookiy-skill/
├── .claude-plugin/plugin.json
├── .cursor-plugin/plugin.json
├── .github/workflows/validate.yml
├── .mcp.json
├── docs/
│   ├── CONTENT_POLICY.md
│   ├── contract-source.json
│   ├── PLATFORM_COMPATIBILITY.md
│   ├── ROADMAP.md
│   └── THIRD_PARTY_ATTRIBUTIONS.md
├── examples/
│   ├── README.md
│   ├── readouts/mobile-checkout-friction.md
│   └── study-briefs/saas-onboarding-friction.md
├── prompts/
│   ├── README.md
│   ├── interview-guides/problem-exploration.md
│   ├── stakeholder-readouts/executive-summary.md
│   ├── study-briefs/discovery-study.md
│   └── synthesis/evidence-first-synthesis.md
├── packages/
│   └── cookiy-mcp/
│       ├── package.json
│       ├── README.md
│       ├── bin/
│       ├── lib/
│       ├── scripts/
│       └── test/
├── references/
│   ├── README.md
│   ├── books/README.md
│   ├── methods/research-method-selector.md
│   ├── methods/thematic-analysis.md
│   └── templates/
│       ├── insight-card-template.md
│       └── research-plan-template.md
├── rules/cookiy-basics.mdc
├── scripts/
│   ├── check-readme-commands.sh
│   └── install-mcp.sh
├── skills/
│   └── cookiy/
│       ├── SKILL.md
│       └── references/
│           ├── ai-interview.md
│           ├── guide-editing.md
│           ├── recruitment.md
│           ├── report-insights.md
│           ├── study-creation.md
│           └── tool-contract.md
├── SKILL.md
└── README.md

Current Installable Capability

The repository still exposes one production installable skill: cookiy.

That skill handles both setup and workflow orchestration across the full public MCP surface:

  • Discovery and workflow guidance:
    • cookiy_introduce
    • cookiy_help
  • Study creation:
    • cookiy_media_upload
    • cookiy_study_create
    • cookiy_guide_status
    • cookiy_guide_get
  • AI interview:
    • cookiy_simulated_interview_generate
    • cookiy_simulated_interview_status
    • cookiy_interview_list
    • cookiy_interview_playback_get
  • Guide editing:
    • cookiy_guide_get
    • cookiy_guide_impact
    • cookiy_guide_patch
  • Recruitment:
    • cookiy_recruit_create
    • cookiy_recruit_status
  • Report and insights:
    • cookiy_report_status
    • cookiy_report_share_link_get
    • cookiy_study_get
    • cookiy_study_list
  • Billing and balance:
    • cookiy_balance_get

Manual report generation is no longer part of the public MCP skill contract. The public docs in this repo are aligned to the current runtime behavior.

cookiy_help supports canonical workflow topics:

  • overview
  • study
  • ai_interview
  • guide
  • recruitment
  • report
  • billing

Common aliases like study creation, discussion guide, and report and insights are also accepted by the current runtime.

For eligible paid actions, the runtime may apply experience_bonus before purchased credit. Recruitment is separate and requires paid credit or cash credit.

The source for the public bootstrap installer package also now lives in this repository under packages/cookiy-mcp/.

Open Library Content

The new additive library is organized for actual agentic use, not decorative content:

  • prompts/
    • reusable prompt blocks for study briefs, interview-guide drafting, synthesis, and stakeholder readouts
  • references/
    • method cards, reusable templates, and book-note guidance for turning research material into agent-usable assets
  • examples/
    • worked examples of a study brief and a synthesis/readout artifact
  • docs/
    • compatibility rules, copyright boundaries, attribution notes, and the roadmap for future expansion
  • packages/cookiy-mcp/
    • the public cookiy-mcp npm package source, build scripts, and tests

Current files in the open library

  • Prompts
    • prompts/study-briefs/discovery-study.md
    • prompts/interview-guides/problem-exploration.md
    • prompts/synthesis/evidence-first-synthesis.md
    • prompts/stakeholder-readouts/executive-summary.md
  • References
    • references/methods/research-method-selector.md
    • references/methods/thematic-analysis.md
    • references/templates/research-plan-template.md
    • references/templates/insight-card-template.md
    • references/books/README.md
  • Examples
    • examples/study-briefs/saas-onboarding-friction.md
    • examples/readouts/mobile-checkout-friction.md
  • Public package
    • packages/cookiy-mcp/package.json
    • packages/cookiy-mcp/README.md
    • packages/cookiy-mcp/bin/cli.mjs
    • packages/cookiy-mcp/lib/*
    • packages/cookiy-mcp/scripts/*
    • packages/cookiy-mcp/test/*

Platform Distribution

This single repository still serves the same public distribution surfaces:

PlatformWhat it readsHow users install
Claude Code Plugins.claude-plugin/, .mcp.json, skills/claude plugin add cookiy-ai/cookiy-skill
skills.sh (Codex, etc.)skills/npx skills add cookiy-ai/cookiy-skill
ClawHub (OpenClaw)skills/clawhub install cookiy (skill only; MCP installs separately)
Cursor Marketplace.cursor-plugin/, rules/, .mcp.jsonCursor marketplace UI

Future Direction

The roadmap is to keep the installable runtime surface stable while incubating more user-research content and future skills safely.

Planned next areas are tracked in docs/ROADMAP.md, including:

  • research planning
  • evidence-first synthesis
  • stakeholder readouts
  • market and community landscape research

Those future additions will only be promoted into installable skill surfaces after a compatibility review.

MCP Server

The skill orchestrates Cookiy's MCP server, which exposes the live user-research tool surface. The MCP server handles OAuth 2.1 authentication, billing, and all backend operations.

For MCP server installation without skills, see the cookiy-mcp npm package.

License

MIT

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