MCP integration

Connect DAC to Claude, Cursor, and other MCP-compatible coding agents.

We expose an MCP server. Wire DAC into Claude, Cursor, or any MCP-compatible coding agent and ask questions about your scores, frameworks, and roadmap inline. Free plan gets read-only framework data; Starter+ unlocks scoring and roadmap tools.

MCP integration

We expose a Model Context Protocol (MCP) server that lets you query your product maturity data, run scoring, and get roadmap recommendations directly from any MCP-compatible coding agent: Claude, Cursor, and others.

Instead of switching between your coding agent and the Dacard.ai app, you can ask questions like “what are my top 3 priorities this week?” or “show me the transition plan from Building to Scaling” and get structured, framework-grounded answers inline.

Access tiers

Plan	MCP access
Free	Read-only (framework data and scoring engine only)
Starter+	Full access (all 8 tools, including score_product and roadmap generation)

Connecting

1. Get your API key

   Go to Settings > API in the Dacard.ai app and generate an API key. Starter plan or above required for full access.

2. Add to your coding agent

   Add the Dacard MCP server to your agent’s MCP configuration. The server endpoint and setup instructions live in Settings > API.

3. Verify

   Ask your agent to call get_framework_overview. If it returns the 5 maturity stages and 27 dimensions, you’re connected.

MCP runs over HTTP. Your coding agent needs to support MCP tool calls (Claude via Claude.ai or API, Cursor, Continue, and others).

Available tools

get_framework_overview

Returns the full structure of the Team Operations framework: 5 maturity stages, 27 dimensions, scoring engine details, and cluster definitions.

Use for: Reading the framework before running scoring, or asking your agent to explain the methodology.

Parameters: None.

get_stage_details

Returns the deep-dive for a specific maturity stage: signals (team, tooling, outcomes), how each of the 27 dimensions manifests at that stage, anti-patterns to avoid, and transition triggers to reach the next stage.

Use for: “What does Leading look like in practice?” or “What anti-patterns should I avoid at Building?”

Parameters: stage, one of foundation, building, scaling, leading, compounding.

get_lifecycle_tasks

Returns tasks from the Development Lifecycle framework: 6 stages (Specify, Context, Orchestrate, Validate, Ship, Compound).

Use for: “What tasks should my team be doing in the Orchestrate stage?” or pulling all lifecycle tasks for a full view.

Parameters: stage (optional), filter to a specific lifecycle stage. Omit to return all stages.

score_product

Given answers to all 27 dimension questions (each scored 1-5), calculates the maturity composite (27-135), determines the stage, and provides recommendations. Accepts optional company context for richer analysis.

Use for: Running a scoring session through your coding agent without opening the app.

Parameters: 27 dimension scores (1-5 each), optional context (company stage, team size, product category).

get_dimension_progression

Shows how a specific dimension evolves across all 5 maturity stages, including the inflection point where the biggest capability jump happens.

Use for: “How does decision_quality evolve from Foundation to Compounding?” or planning a specific capability improvement.

Parameters: dimension, any of the 27 dimension IDs (e.g., decision_quality, feedback_loop_quality).

get_personalized_roadmap

Given 27 dimension scores and optional company context, surfaces a prioritized transformation roadmap: cluster analysis, monthly action plan, weak-area diagnostics, and tool recommendations.

Use for: “Build me a 3-month roadmap based on my scores” or pulling the same roadmap the app generates.

Parameters: 27 dimension scores (1-5 each), optional context.

get_action_items

Returns the top 3-5 prioritized this-week actions based on 27 dimension scores. Surfaced from the highest-impact, most immediately actionable tasks in the personalized roadmap.

Use for: Quick “what should I do next?” queries without needing the full roadmap.

Parameters: 27 dimension scores (1-5 each), optional context.

get_transition_plan

Returns a detailed transition plan between two maturity stages: per-dimension steps needed, anti-patterns to avoid, and transition triggers to watch for. Accepts optional current scores for personalized emphasis.

Use for: “How do we move from Building to Scaling?” or strategic planning workshops.

Parameters: current_stage, target_stage, optional scores.

Example prompts

Once connected, try these with your coding agent:

Framework overview

“Use Dacard to explain the 5 maturity stages and what separates Leading from Compounding.”

Stage deep-dive

“Use Dacard to show me all the signals and anti-patterns at the Building stage.”

Quick actions

“Based on my scores [paste scores], what are my top 3 priorities this week?”

Transition plan

“Use Dacard to build a transition plan from Scaling to Leading for a 12-person team.”

Read-only vs. full access

Free plan MCP access covers get_framework_overview, get_stage_details, get_lifecycle_tasks, and get_dimension_progression, the framework reference tools. Scoring and roadmap tools (score_product, get_personalized_roadmap, get_action_items, get_transition_plan) require Starter plan or above.