One of the most frustrating things when building with AI coding assistants is when they happily write code for you… but the dependencies they suggest are outdated or simply wrong. You know the drill:

You ask your LLM to add a library.
It writes npm install some-package@1.0.0… but the latest version is actually 3.2.4.
Or worse, it invents a version that doesn’t even exist.

Suddenly, instead of building features, you’re wrestling with dependency mismatches.

I built the Dependency MCP Server to solve exactly this problem.

What It Does

The Dependency MCP is an MCP (Model Context Protocol) server that lets your AI development tools check dependencies across multiple registries in real time.

That means whenever the AI suggests a package, it can instantly verify:

✅ What the latest version is
✅ Whether a specific version exists
✅ Full package metadata including all available versions
✅ Run bulk checks across your entire dependency list

It supports all the major registries: npm, PyPI, Maven, NuGet, RubyGems, Crates.io, and Go modules.

So whether you’re in Node.js, Python, Java, .NET, Ruby, Rust, or Go, the AI never needs to guess again.

Why It Matters

This isn’t just about convenience. Correct dependencies make a huge difference in:

Reducing errors – no more wasted time debugging phantom versions.
Faster development – the AI can give you working install commands immediately.
CI/CD reliability – bulk validation tools let you enforce correct versions across pipelines.
Security audits – you can fetch full package metadata for reviews.

Instead of trusting the model’s memory (which is always a little stale), you give it a direct way to ask the source of truth: the package registries themselves.

Fun Fact: How I Use It with Cursor

One of the coolest things about building MCP servers is that you can actually use Cursor’s own MCP integration to create an automatic development feedback loop.

The flow looks like this: you start by writing or updating your MCP server, then register it in Cursor’s configuration. Once it’s wired up, Cursor can immediately call your server and test each of the tools you’ve exposed. If something doesn’t work, Cursor surfaces the error right away - and even suggests fixes or improvements directly in your editor. That means you’re not just coding; you’re effectively building software that validates itself, with an AI co-pilot constantly reviewing and stress-testing your MCP server in real time.

Try It Out

Wire it into your AI tooling (like Claude Desktop or Cursor), just drop this into your config:

{
  "mcpServers": {
    "dependency-checker": {
      "command": "npx",
      "args": ["dependency-mcp"]
    }
  }
}

Closing Thoughts

Building with AI is amazing - but only if the code it writes actually runs. With the Dependency MCP server, you never have to worry about outdated or invalid dependencies again.

For me, this has completely changed the dev cycle: instead of correcting the AI, the AI corrects itself.

Say Goodbye to Outdated Dependencies