Integrations
Jira for bidirectional requirement and ticket sync, Figma for one-click screen import and design updates, and an MCP server that exposes documented requirements to external coding tools. No other integrations are listed on the homepage.
Turn product ideas into structured requirements, screens and estimates

metastory AI is an AI project builder tool that turns product ideas into structured requirements, screens and estimates. AI product management workspace that turns a short project brief into structured modules, features and user stories, links them to imported Figma screens, syncs with Jira and produces effort and cost estimates for agency proposals.
metastory AI is a product management workspace built around a context engine. Rather than drafting a requirements document by hand, a team starts a conversation that describes the application and who will use it. From that context the tool produces a hierarchy of modules, features and subfeatures, with consistent naming and parent-child structure. The output is not a flat block of text: requirements stay linked to the screens they belong to, so the specification and the interface plan evolve together. The tool positions itself as a second brain for product managers, agencies and software houses. That audience matters, because the design assumes client work rather than a single internal product. Screens can be imported from Figma and matched to requirements, a reusable library keeps components and features available across projects, and Jira sync moves tickets bidirectionally so the backlog does not drift from the spec. An estimation board generates effort and cost predictions from the feature list, splitting hours across frontend, backend and QA and applying MoSCoW priorities. For agencies, that turns estimation into something repeatable instead of a fresh negotiation each time. In practice the workflow runs in a fixed sequence: generate modules, generate features, add user stories, attach pages, then export or publish. Humans stay in the loop throughout, editing and approving rather than accepting whatever the model returns. The homepage also highlights an MCP server, which lets coding agents pull the documented requirements as context, a concept metastory describes as turning vibe coding into documented work. Alternatives fall into two camps. General writing assistants can draft requirement prose but do not maintain a module hierarchy, screen mapping or estimation. Dedicated roadmapping and issue tracking tools hold the plan but leave the drafting to a person. metastory AI occupies the space before the backlog exists, where scope is still being shaped and priced. The interface runs in the browser, and the vendor publishes no public pricing tiers on the homepage, so buyers should request a quote.

Jira for bidirectional requirement and ticket sync, Figma for one-click screen import and design updates, and an MCP server that exposes documented requirements to external coding tools. No other integrations are listed on the homepage.
Context engine that builds a knowledge base from documents, transcripts and Figma imports; AI editor producing modules, features, subfeatures and user stories; screen-to-requirement mapping on an interactive project board; reusable cross-project library; estimation board with hours, cost and MoSCoW priorities; bidirectional Jira sync and an MCP server for coding agents.
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