Stop Fighting Your AI Assistant Over Unknown APIs

Your coding assistant keeps hallucinating method names from your internal TypeScript library. Sound familiar? You're not alone – and there's a better way forward.

The API Discovery Problem

Here's the thing: LLMs are brilliant at working with popular libraries they've seen millions of times during training. But introduce them to your company's internal SDK, a bleeding-edge framework, or even a lesser-known package, and suddenly they're making up method signatures and guessing at interfaces.

You end up in this awkward dance – constantly correcting the AI, pasting documentation snippets, or just giving up and writing the code yourself. It defeats the purpose of having an AI assistant in the first place.

Dynamic API Intelligence

MCP-Typescribe flips this on its head. Instead of dumping your entire API documentation into context (expensive and ineffective), it gives your AI assistant the ability to intelligently explore TypeScript APIs on-demand.

Think of it as adding a search engine for your codebase directly into your AI's toolkit. When Claude or Cursor encounters an unfamiliar method, it can instantly query for the exact signature, find related types, or discover similar functions – just like you would.

What This Actually Looks Like

Your AI assistant can now:

• Search symbols by name: "Find all methods containing 'render' in the Graphics API"
• Get precise type information: Pull exact parameter types and return values for any function
• Explore relationships: Discover what interfaces a class implements or what extends from a base type
• Find usage patterns: See where specific types are used across the codebase
• Navigate hierarchies: Understand inheritance chains and type relationships

No more guessing. No more hallucinations. Just accurate, contextual API usage.

Real-World Impact

Internal SDK Integration: Point your AI at your company's TypeScript SDK documentation. Now it can generate integration code that actually compiles on the first try.

Framework Exploration: Working with a new React component library? Your assistant can discover available props, understand component hierarchies, and suggest proper usage patterns.

API Migration: Upgrading between major versions? The AI can compare old vs. new method signatures and suggest refactoring approaches based on what's actually available.

Code Review: Your assistant can spot when you're using deprecated methods or suggest better alternatives from the same API surface.

Drop-In Integration

The setup is refreshingly straightforward:

1. Generate TypeDoc JSON from your TypeScript project (one command)
2. Point MCP-Typescribe at the documentation file
3. Connect it to your AI assistant via MCP protocol

For Cline users, it's a simple JSON config. For Claude Desktop, just add the server details. The AI gets instant access to nine different query tools for exploring your API.

No complex setup. No API keys to manage. Just better AI understanding of your codebase.

Beyond Documentation Lookup

This isn't just about having better docs – it's about enabling genuinely autonomous development workflows. Your AI can now plan implementation strategies, suggest architectural patterns, and write integration code for APIs it's never seen before.

That's the difference between an AI that needs constant guidance and one that can actually contribute to your development process.

Ready to stop explaining your APIs to your AI assistant? Check out MCP-Typescribe and let your tooling work as intelligently as you do.