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Fibery's AI capabilities are enhanced by its relational database structure, which keeps all information connected and organized within a single workspace. This allows the AI to answer complex questions that span multiple teams and processes, providing deeper insights than if data were siloed.
The Model Context Protocol (MCP) is a new feature that enables direct connection of AI assistants like Claude to your Fibery workspace. Through MCP, these AI tools can query and analyze your data, create and update entities, and access Fibery Guide documentation, extending their utility within your operational context.
Yes, Fibery is designed to be highly customizable for product development. Users can tailor their process to suit their needs, whether that involves Scrum or Kanban, and can define their own workflows using user stories or tasks. This flexibility allows teams to maintain their preferred methodology while leveraging Fibery's features.
Fibery includes a powerful built-in BI tool that supports various data visualizations such as barcharts, scatterplots, and tables. These visualizations can be based on actual or historical data and can be enhanced with color coding for better analysis.
Fibery allows users to create and visualize dependencies, particularly on the Timeline View. When cards or tasks are moved, the dates of dependent items automatically adjust, helping to maintain project coherence and prevent scheduling conflicts.
Fibery offers several integration options, including native connectors for popular tools, integration platforms for broader connectivity, and custom connectors for unique requirements. This allows users to bring data from their existing tools into Fibery and connect it with the rest of their workspace.
Source: fibery.io