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C# Support in Maguyva: Safer Refactors for .NET Codebases

Maguyva supports C# with AST parsing and symbol extraction so AI agents can work across .NET services, LINQ-heavy business logic, shared libraries, and long-lived enterprise repositories.

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What matters in mature .NET codebases

Plenty of teams using AI tooling live in .NET, not in greenfield JavaScript. They have APIs, worker processes, shared models, internal libraries, and years of business logic. The question is not whether an LLM can emit C# syntax. The question is whether it can stay grounded inside a repository where one wrong edit can ripple through services, models, and shared abstractions.

That is why a C# page has to be more specific than “supported.”

What Maguyva actually extracts in C#

Maguyva normalizes using imports, strips nullable and array suffixes such as ? and [] from definitions, and treats constructor-like call nodes as instantiations while stripping generic brackets. Those are useful details in class-heavy C# repos because they make the graph cleaner around real domain types.

The config also filters a lot of BCL and LINQ noise. That matters more than it sounds. In mature .NET codebases, a graph dominated by framework calls is not very helpful. The useful graph is the one where repository-specific controllers, services, DTOs, and helper classes still stand out.

Useful MCP workflows for .NET codebases

The practical flow usually starts with:

  • find_symbol when you know the controller, service, DTO, or model name.
  • dependency_search before editing a shared service or type that may have wide inbound usage.
  • get_task_context for prompts like “follow this request from controller to repository” when the path spans several layers.

When this page is useful

This page is for teams that want AI assistance inside a real .NET codebase, not just a toy project. If the surrounding system is more JVM than .NET, compare with Java. If your C# layer is only one part of a bigger polyglot system, the adjacent TypeScript page is usually relevant too.

Best fit

  • > ASP.NET, worker-service, and internal platform repositories that mix web endpoints, jobs, and shared libraries.
  • > Teams maintaining mature .NET estates where LINQ, async flows, and framework abstractions hide the real execution path.
  • > Teams testing whether an agent can stay grounded in layered .NET code before rewriting business logic.

Agent workflows

  • > Follow a controller, service, and repository path before editing business logic.
  • > Inspect where a model, DTO, or shared utility is instantiated across the repo.
  • > Understand surrounding LINQ or async patterns before letting the agent rewrite anything.

Engine details

  • > `using` prefixes are normalized on imports, and nullable or array suffixes such as `?` and `[]` are stripped from symbol definitions.
  • > Instantiation uses call nodes with generic-bracket stripping, which helps keep constructor-like usage readable in the graph.
  • > The config explicitly filters large amounts of BCL and LINQ noise so repository-specific services and models are easier to surface.

Useful MCP entry points

  • find_symbol

    Use it when you know the controller, service, DTO, or shared type name you are about to touch.

  • dependency_search

    Use incoming traversal before editing a core service or model used across the application.

  • get_task_context

    Useful for prompts like “follow this request from controller to repository” in layered .NET codebases.

Related guides

Adjacent repo surfaces

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