kaizen-lab
KaizenLab is an AI-native hypothesis validation platform for product teams running lean startup cycles. Connect your AI agent (Claude, Cursor, etc.) to access 56 MCP tools covering the full PMF validation workflow: **Core workflows:** - 🧪 Hypothesis Canvas — create, update, and iterate on product hypotheses with sticky notes per field - ✅ Verification Canvas — plan experiments, run them, validate or invalidate results - 💡 Learnings — add, search, and analyze patterns across all learnings with AI - 👥 Personas & Interviews — customer research and discovery - 🗺️ Roadmap — prioritize next actions from validated learnings - 📊 PMF Score — track product-market fit progress across 5 categories **Expert mode:** Use the MCP directly from Claude Code, Cursor, or any MCP-compatible client to run hypothesis validation loops entirely through your AI agent — no UI required. Generate your API key at https://kaizen-lab.buildgeeks.dev/settings
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- Smithery
- Author type
- human
- Updated
- 2026-05-12
Use via MCP
Resolve kaizen-lab from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.