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API Integration

Integrate this MCP server into your applications.

Get your API Key

You'll need to login and generate a Smithery API key to connect to this server.

Installation

Install the official MCP SDKs using npm:

npm install @modelcontextprotocol/sdk

TypeScript SDK

typescript


import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js"

const transport = new StdioClientTransport({
  "command": "python",
  "args": [
    "chatgui.py"
  ],
  "env": {
    "AZURE_OPEN_AI_ENDPOINT": "https://your-endpoint.openai.azure.com/",
    "AZURE_OPEN_AI_API_KEY": "your-api-key",
    "AZURE_OPEN_AI_DEPLOYMENT_MODEL": "your-deployment-model",
    "AZURE_OPEN_AI_API_VERSION": "2023-05-15"
  }
})

// Create MCP client
import { Client } from "@modelcontextprotocol/sdk/client/index.js"

const client = new Client({
	name: "Test client",
	version: "1.0.0"
})
await client.connect(transport)

// Use the server tools with your LLM application
const tools = await client.listTools()
console.log(`Available tools: ${tools.map(t => t.name).join(", ")}`)

Configuration Schema

Full JSON Schema for server configuration:

json

{
  "type": "object",
  "required": [
    "azureOpenAiEndpoint",
    "azureOpenAiApiKey",
    "azureOpenAiDeploymentModel",
    "azureOpenAiApiVersion"
  ],
  "properties": {
    "azureOpenAiApiKey": {
      "type": "string",
      "description": "The API key for Azure OpenAI."
    },
    "azureOpenAiEndpoint": {
      "type": "string",
      "description": "The endpoint for Azure OpenAI."
    },
    "azureOpenAiApiVersion": {
      "type": "string",
      "description": "The API version for Azure OpenAI."
    },
    "azureOpenAiDeploymentModel": {
      "type": "string",
      "description": "The deployment model for Azure OpenAI."
    }
  }
}