File: //opt/PraisonAI/docs/mcp/filesystem.mdx
---
title: "Filesystem MCP Integration"
sidebarTitle: "Filesystem"
description: "Guide for integrating filesystem operations with PraisonAI agents using MCP"
icon: "folder-open"
---
## Add Filesystem Tool to AI Agent
```mermaid
flowchart LR
In[Query] --> Agent[AI Agent]
Agent --> Tool[Filesystem MCP]
Tool --> Agent
Agent --> Out[Answer]
style In fill:#8B0000,color:#fff
style Agent fill:#2E8B57,color:#fff
style Tool fill:#FFA500,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 API Key">
Set your OpenAI API key as an environment variable in your terminal:
```bash
export OPENAI_API_KEY=your_openai_api_key_here
```
</Step>
<Step title="Create a file">
Create a new file `filesystem_agent.py` with the following code:
```python
from praisonaiagents import Agent, MCP
import os
# Define allowed directories for filesystem access
allowed_dirs = [
"/Users/username/Desktop",
"/path/to/other/allowed/dir"
]
# Use a single string command with allowed directories
filesystem_agent = Agent(
instructions="""You are a helpful assistant that can interact with the filesystem.
Use the available tools when relevant to manage files and directories.""",
llm="gpt-4o-mini",
tools=MCP("npx -y @modelcontextprotocol/server-filesystem", args=allowed_dirs)
)
filesystem_agent.start("List files in the allowed directories")
```
</Step>
<Step title="Run the Agent">
Execute your script:
```bash
python filesystem_agent.py
```
</Step>
</Steps>
<Note>
**Requirements**
- Python 3.10 or higher
- Node.js installed on your system
- OpenAI API key (for the agent's LLM)
- Read/write access to the specified directories
</Note>