Integration & MCP for Productboard
Integrate and automate your Productboard workflows across 2,580 tools. Take full control—use your favorite LLM to orchestrate Productboard and make your data and tools truly work for you, not the other way around.
Business Operations and ERPs
Transform Product Strategy with Productboard Integration
Connecting Productboard via Boost.space's MCP (Multi-Channel Platform) streamlines operations by centralizing workflows, automating updates, and enhancing collaboration. This integration empowers product management teams to prioritize features, gather feedback effectively, and plan roadmaps with greater efficiency and clarity, ultimately preparing the business for true AI-readiness by fostering a data-driven and agile environment.
Supported MCP tools
Connect insights. Empower action. With MCP, Productboard becomes the engine for truly collaborative work.
Can play scenarios
Can list scenarios
So you can execute these actions with Productboard MCP:
Watch feature deleted
Triggers when a feature is deleted.
Watch feature updated
Triggers when a feature is updated.
Watch feature created
Triggers when a new feature is created.
Update a feature
Updates the selected feature.
Get a feature
Returns information about the selected feature.
Create a note
Creates a new note.
Make an api call
Performs an arbitrary authorized API call.
List features
Lists all features.
How to use MCP with Productboard
Create scenario with on-demand trigger
Generate your MCP API Key
Insert MCP API Key in your favourite LLM in instructions
Boost.space MCP's integration with Productboard delivers significant benefits by streamlining and enhancing product management workflows. With this integration, businesses can centralize their product management processes by automatically syncing feature prioritization, roadmap planning, and feedback gathering with other essential apps. Unique workflows are supported through automated actions such as real-time updates to status changes and feedback scores within Productboard, enabling teams to make informed decisions swiftly. The AI-powered impact is evident in its ability to predict feature success rates based on historical data and user feedback trends, offering actionable insights to prioritize development efforts effectively. By improving collaboration across teams with centralized data, the integration ensures a cohesive product strategy leading to exceptional user engagement and satisfaction.
