File: //opt/PraisonAI/docs/mcp/gdrive.mdx
---
title: "Google Drive MCP Integration"
sidebarTitle: "Google Drive"
description: "Guide for integrating Google Drive file management with PraisonAI agents using MCP"
icon: "google-drive"
---
## Add Google Drive Tool to AI Agent
```mermaid
flowchart LR
In[Query] --> Agent[AI Agent]
Agent --> Tool[Google Drive MCP]
Tool --> Agent
Agent --> Out[Answer]
style In fill:#8B0000,color:#fff
style Agent fill:#2E8B57,color:#fff
style Tool fill:#0F9D58,color:#fff
style Out fill:#8B0000,color:#fff
```
## Quick Start
<Steps>
<Step title="Install Dependencies">
Make sure you have Node.js installed, as the MCP server requires it:
```bash
pip install praisonaiagents mcp
```
</Step>
<Step title="Set up Google Drive Credentials">
Set your Google Drive credentials path as an environment variable in your terminal:
```bash
export GDRIVE_CREDENTIALS_PATH=path/to/your/gcp-oauth.keys.json
export OPENAI_API_KEY=your_openai_api_key_here
```
</Step>
<Step title="Create a file">
Create a new file `gdrive_agent.py` with the following code:
```python
from praisonaiagents import Agent, MCP
import os
# Get the credentials path from environment
gdrive_credentials = os.getenv("GDRIVE_CREDENTIALS_PATH", "servers/gcp-oauth.keys.json")
# Use a single string command with Google Drive configuration
gdrive_agent = Agent(
instructions="""You are a helpful assistant that can interact with Google Drive.
Use the available tools when relevant to manage files and folders.""",
llm="gpt-4o-mini",
tools=MCP("npx -y @modelcontextprotocol/server-gdrive",
env={"GDRIVE_CREDENTIALS_PATH": gdrive_credentials})
)
gdrive_agent.start("List files in my Google Drive")
```
</Step>
<Step title="Run the Agent">
Execute your script:
```bash
python gdrive_agent.py
```
</Step>
</Steps>
<Note>
**Requirements**
- Python 3.10 or higher
- Node.js installed on your system
- Google Drive API credentials (OAuth keys)
- OpenAI API key (for the agent's LLM)
</Note>