StoriesOnBoard MCP Server

The MCP server for story maps and product management.

Give MCP-compatible tools structured access to story maps so they can read the journey and contribute work in the right place.

PRDResearchDecisions
StoriesOnBoardstructured product context
BacklogReleaseBuild plan

Make StoriesOnBoard the context and control layer between human product strategy and AI execution.

01

Why it matters

More useful AI starts with better product structure.

StoriesOnBoard keeps strategic context understandable to people and available to the agents helping them plan and execute.

01

Read the map

Agents can understand story map hierarchy, cards, details, personas, releases, and the surrounding product context.

02

Contribute to the map

Create and update product work through explicit StoriesOnBoard operations instead of pasting text between tools.

03

Build repeatable workflows

Connect discovery, backlog generation, audits, refinement, and implementation planning in an agent workflow.

How it works

A clear path from input to aligned action.

Each step adds context while keeping product decisions visible and reviewable.

1

Connect your agent

Enable the StoriesOnBoard MCP connector in a compatible agent environment.

2

Choose the context

Work from an existing map or let the agent create a new product structure from approved input.

3

Review the result

Inspect changes visually, adjust the journey, and decide what should move into delivery.

Frequently asked questions

Clear answers before you start.

What does the StoriesOnBoard MCP server do?+

It gives MCP-compatible AI agents structured access to StoriesOnBoard story maps so they can read product context and perform supported backlog operations.

Why connect an AI agent to a story map?+

A story map provides the user journey, hierarchy, personas, stories, and release intent that isolated backlog tickets and prompts usually omit.

Can an agent write to StoriesOnBoard through MCP?+

The MCP workflow can expose explicit read and write operations. The exact supported capabilities and approval pattern should match the connected environment and current beta implementation.

Give your agents the full picture

Build the context before you build the product.

Start with a rough idea, a PRD, or an existing map. Turn it into a product plan people and agents can use together.

Start free