# Introducing @clerk/agent-toolkit

We're excited to introduce our `@clerk/agent-toolkit` package, a new experimental package designed to integrate Clerk into your AI agent workflows. This toolkit empowers developers to build powerful agentic systems with support for managing users, user data, organizations, and more. It's designed to work seamlessly with frameworks like Vercel's AI SDK and LangChain.

Adding Clerk to your workflow is as simple as:

```typescript
import { createClerkToolkit } from '@clerk/agent-toolkit/ai-sdk'
import { openai } from '@ai-sdk/openai'
import { streamText } from 'ai'
import { auth } from '@clerk/nextjs/server'

export async function POST(req: Request) {
  const { messages } = await req.json()

  // 1. Instantiate the toolkit
  const toolkit = await createClerkToolkit()

  const result = streamText({
    model: openai('gpt-4o'),
    messages,
    system: systemPrompt,
    // 2. Pass the tools to the model
    tools: toolkit.users(),
  })

  return result.toDataStreamResponse()
}
```

Running a local MCP server is just as easy:

```shell
npx -y @clerk/agent-toolkit -p local-mcp --secret-key sk_123
```

## Key Features

- **Vercel AI SDK & LangChain support**: First-class support for Vercel's AI SDK and LangChain, with framework-specific helpers for each.
- **Local MCP server support**: The `@clerk/agent-toolkit` package comes with a standalone local MCP server so you can easily integrate Clerk with any MCP client such as Claude Desktop.
- **Session context injection**: Easily inject session claims (`userId`, `sessionId`, `orgId`) into system prompts for contextual awareness.
- **Scoped helpers**: Support for scoping actions to specific users or organizations to limit resource access.

## Up Next

- **Openai SDK support (coming soon)**: We're actively working on adding support for the `openai` SDK. Stay tuned for updates!

## Try it today

Install the package using your preferred package manager and start building today:

```shell
npm install @clerk/agent-toolkit
```

Check out our [example repository](https://github.com/clerk/agent-toolkit-example) and the package's [documentation](https://github.com/clerk/javascript/blob/main/packages/agent-toolkit/README.md) to learn more.

We'd love to hear from you as you build. Your feedback will help shape the future of Clerk and AI. Reach out to [ai@clerk.dev](mailto:ai@clerk.dev).