import { createAISDKTools } from '@agentic/ai-sdk'
import { createMcpTools } from '@agentic/mcp'
import { openai } from '@ai-sdk/openai'
import { generateText } from 'ai'
async function main() {
// Create an MCP tools provider, which will start a local MCP server process
// and use the stdio transport to communicate with it.
const mcpTools = await createMcpTools({
name: 'agentic-mcp-filesystem',
serverProcess: {
command: 'npx',
args: [
'-y',
// This example uses a built-in example MCP server from Anthropic, which
// provides a set of tools to access the local filesystem.
'@modelcontextprotocol/server-filesystem',
// Allow the MCP server to access the current working directory.
process.cwd()
// Feel free to add additional directories the tool should have access to.
]
}
})
const result = await generateText({
model: openai('gpt-4o-mini'),
tools: createAISDKTools(mcpTools),
toolChoice: 'required',
temperature: 0,
system: 'You are a helpful assistant. Be as concise as possible.',
prompt: 'What files are in the current directory?'
})
console.log(result.toolResults[0])
}
await main()
```
### createMcpTools
`createMcpTools` creates a new `McpTools` instance by starting or connecting to an MCP server.
You must provide either an existing `transport`, an existing `serverUrl`, or a
`serverProcess` to spawn.
All tools within the `McpTools` instance will be namespaced under the given `name`.
### JSON Schema
Note that `McpTools` uses JSON Schemas for toll input parameters, whereas most built-in tools use Zod schemas. This is important because some AI frameworks don't support JSON Schemas.
Currently, Mastra, Dexter, and xsAI don't support JSON Schema input parameters, so they won't work with `McpTools`.
