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TypeScript Support in Maguyva: Better Context for Monorepos

Maguyva supports TypeScript with AST parsing and symbol extraction so AI agents can trace interfaces, implementations, shared packages, and JSX-heavy application code across monorepos.

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Why TypeScript pages matter

TypeScript is the language where many teams expect AI-assisted refactoring to finally feel safe. The type system helps, but it does not remove the real problem: shared packages, DTOs, generated clients, React components, tests, and app code all pulling on the same names across a large repo.

For TypeScript, the standard is higher than “it understands syntax.” The agent needs to follow the contract from definition to implementation to impact radius before it edits a shared type, hook, or client.

What Maguyva actually extracts in TypeScript

Maguyva extracts classes, methods, interfaces, and type aliases across .ts, .mts, .cts, and the common TypeScript file variants around tests and stories. Member prefixes are normalized, but class-qualified identifiers are preserved, which helps when a repo has both a bare helper name and a class-scoped method with the same final segment.

JSX is treated as a real structural signal rather than stray markup, and symbol expectations explicitly skip a lot of test, story, and config paths. That matters in monorepos because otherwise the agent spends too much time rediscovering scaffolding instead of the actual implementation surface.

Useful MCP workflows for TypeScript repos

Three starting patterns are usually enough:

  • Use find_symbol when you already know the interface, type alias, hook, or service name.
  • Use dependency_search before changing shared types or clients that may fan out across packages.
  • Use structural_search when you need a code shape, not a keyword match, for example repeated component or method patterns.

For conceptual questions like “follow the checkout submission path,” get_task_context is often a better first hop than a raw search.

Where this page is most relevant

This page is strongest for web and platform monorepos where TypeScript is the coordination layer for multiple packages. If your repo still includes a lot of older JS, read the JavaScript guide. If your question is really “can the agent hold app code and infra context together?” pair this with Terraform.

Best fit

  • > Product and platform teams running Next.js, Node services, shared packages, and tooling inside one TypeScript repo.
  • > Repos where interfaces, DTOs, schemas, and React components move together but live in different directories.
  • > Teams trying to give AI agents safe context before they touch shared types or package boundaries.

Agent workflows

  • > Follow a type, interface, or component from its definition to the code paths that actually use it.
  • > Compare implementations across packages before changing a shared helper or API contract.
  • > Map the likely blast radius of editing a shared type, utility, or service module.

Engine details

  • > TypeScript extracts classes, methods, interfaces, and type aliases rather than flattening everything into generic symbols.
  • > Member prefixes are stripped, but class-qualified identifiers are preserved, which helps distinguish `CheckoutService.create` from a bare `create`.
  • > JSX elements count as instantiations, and test/story/config paths are explicitly skipped in symbol expectations to reduce noise.

Useful MCP entry points

  • find_symbol

    Start here when you know the shared interface, type alias, hook, or service you want to inspect.

  • dependency_search

    Use it before changing a shared DTO or client to get a realistic impact radius across packages.

  • structural_search

    Use AST-level search when you need a pattern, not a string match, for example repeated component or method shapes.

Related guides

Adjacent repo surfaces

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