> ## Documentation Index
> Fetch the complete documentation index at: https://docs.corsair.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Mastra

> Connect Corsair to the Mastra agent framework.

Use `MastraProvider` to connect Corsair to [Mastra](https://mastra.ai).

## Install

```bash theme={null}
npm install @mastra/core
```

## Usage

```ts agent.ts theme={null}
import { Agent } from '@mastra/core/agent';
import { anthropic } from '@ai-sdk/anthropic';
import { MastraProvider } from '@corsair-dev/mcp';
import { corsair } from './corsair';

const provider = new MastraProvider();
const tools = await provider.build({ corsair });

const agent = new Agent({
    name: 'corsair-agent',
    model: anthropic('claude-sonnet-4-6'),
    instructions:
        'You have access to Corsair tools. Use list_operations to discover available APIs, get_schema to understand required arguments, and run_script to execute them.',
    tools: Object.fromEntries(tools.map((t) => [t.id, t])),
});

const response = await agent.generate(
    'Setup corsair, then list all Slack channels.',
);
console.log(response.text);
```

`MastraProvider.build()` is async — it dynamically imports `@mastra/core` as an optional peer dependency. The returned tools are standard Mastra `createTool` instances ready to pass to any Mastra agent.