Documentation Index
Fetch the complete documentation index at: https://docs.praison.ai/llms.txt
Use this file to discover all available pages before exploring further.
Quick Start
Install Dependencies
Make sure you have Node.js installed, as the MCP server requires it:pip install praisonaiagents mcp
Set API Key
Set your OpenAI API key as an environment variable in your terminal:export OPENAI_API_KEY=your_openai_api_key_here
Create a file
Create a new file filesystem_agent.py with the following code: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")
Run the Agent
Execute your script:python filesystem_agent.py
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