Built for developers.
Built for agents.
MCP-first architecture. Every framework dimension queryable. Install in 30 seconds, score any product in under 2 minutes.
AI-native from the API out
Every framework, scoring model, and lifecycle task exposed as structured MCP tools. Built on modern, composable infrastructure designed for AI-first workflows.
8 tools. Every dimension queryable.
Install the MCP server in 30 seconds. Query frameworks, score products, and generate roadmaps from any AI assistant.
{
"mcpServers": {
"dacard-ai": {
"command": "npx",
"args": ["-y", "@dacard/mcp-server"]
}
}
}
{
"engine": "dacard-pm-scorer",
"totalScore": 26,
"tier": "AI-Enhanced",
"dimensions": {
"value_proposition": 3,
"architecture": 2,
"data_strategy": 3
},
"recommendations": [{
"cluster": "Foundation",
"insight": "Architecture is limiting AI capability scaling"
}]
}
| Tool | Description |
|---|---|
| get_framework_overview | Full maturity framework: 5 stages, 10 dimensions, 4 clusters |
| get_stage_details | Deep-dive into a specific maturity stage with signals and anti-patterns |
| get_lifecycle_tasks | Tasks by AI-native lifecycle stage with priority labels |
| score_product | Score product maturity across 10 dimensions, get cluster analysis |
| get_dimension_progression | Track a single dimension across all 5 maturity stages |
| get_personalized_roadmap | 90-day transformation plan based on current scores and context |
| get_action_items | Prioritized actions for a specific dimension and maturity level |
| get_transition_plan | Stage-to-stage transition guide with prerequisites and milestones |
Programmatic access to every signal.
REST API, webhooks, and SDKs coming soon. MCP server available now.
REST API
Coming SoonFull CRUD access to scores, dimensions, recommendations, and team data. JSON responses, paginated endpoints, standard auth.
Webhooks
Coming SoonReal-time notifications for score changes, new recommendations, and threshold alerts. Configurable per team and dimension.
TypeScript SDK
Coming SoonType-safe client for Node.js and browser environments. Auto-generated from the API spec with full IntelliSense support.
Python SDK
Coming SoonNative Python client for data science and automation workflows. Pandas-friendly response objects, async support.
Agent-readable by design.
Three files that make Dacard fully accessible to AI assistants. Structured, versioned, and maintained alongside every release.
llms.txt
AI-readable site profile. Platform overview, frameworks, capabilities, and programmatic access in one structured file.
View file →agent.md
Operational guide for AI agents. Tool usage reference, scoring workflows, response guidelines, and error handling.
View file →skills.md
7 pre-built agent workflows. Score products, compare competitors, generate roadmaps, audit lifecycles, and more.
View file →Built by someone who's done it before.
20+ years building enterprise-grade B2B SaaS across financial services, retail, technology, media, and government.
Data Isolation
Per-tenant data isolation. Your data never touches another customer's compute or storage.
Audit Trail
Every score, every query, every action logged and traceable. Full audit history for compliance.
SSO & RBAC
Enterprise SSO via WorkOS AuthKit. Role-based access control. Admin dashboards. Team-level permissions.
Start building with Dacard.
Install the MCP server in 30 seconds. Score any product in under 2 minutes.