Parse imports and requires
The scanner reads import/require statements in pasted code to separate external packages from relative internal modules.
TASK-SCOPED DEPENDENCY SCAN
Dependency Context Extractor
Paste one task's description or code and get the packages, internal modules, and interfaces it touches, so your AI coding prompt carries real context instead of guesses.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
Surface referenced interfaces
Exported declarations, PascalCase type names, and repeated function calls are collected as the interfaces this task actually touches.
Score context coverage
A transparent count of packages, modules, and interfaces, plus task scope and description length, produces a coverage score you can act on before prompting.
Continue learning: How AI-generated code creates dependency risks · Planning an MVP around dependencies, not just features
Frequently asked questions
Does this tool read my whole repository?
No. It only parses the text you paste for this one task — a description, snippet, or diff. Nothing is uploaded or scanned automatically.
What if I have not written any code yet?
Paste the task description in plain English. The scanner still detects mentions of common packages and frameworks, though pasting a snippet or existing file gives a more complete result.
How is this different from summarizing a whole repository?
A repository summary is for team or AI-tool handoff at the project level. This tool is scoped to the dependencies touched by a single task, so the output stays short enough to paste directly into one prompt.
Will it catch every dependency?
No. It uses transparent pattern matching, not a full parser or type checker. Treat the result as a strong starting checklist, and add anything it misses before prompting.
Can I use this for non-JavaScript code?
The import/require detection is tuned for JavaScript, TypeScript, and Python-style imports. Other languages will still surface interface and package name mentions, just with lower precision.
How We Compare
| Feature | MVPHub | GitHub Copilot | Cursor |
|---|---|---|---|
| Scoped to one task, not a whole repo | Included | Not included | Limited |
| Transparent, visible extraction logic | Included | Not included | Not included |
| No repository access or install required | Included | Not included | Not included |
| Output formatted to paste into a prompt | Included | Limited | Limited |
GitHub Copilot and Cursor can infer some context automatically once connected to your repository. MVPHub extracts a task-scoped dependency list from pasted text alone, with no repository connection, so you can sanity-check context before it ever reaches an AI tool.
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