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 Keys
Set your AWS credentials as environment variables in your terminal:export AWS_ACCESS_KEY_ID=your_aws_access_key_id_here
export AWS_SECRET_ACCESS_KEY=your_aws_secret_access_key_here
export AWS_REGION=your_aws_region_here
export OPENAI_API_KEY=your_openai_api_key_here
Create a file
Create a new file aws_kb_retrieval.py with the following code:from praisonaiagents import Agent, MCP
import os
# Get AWS credentials from environment
aws_access_key = os.getenv("AWS_ACCESS_KEY_ID")
aws_secret_key = os.getenv("AWS_SECRET_ACCESS_KEY")
aws_region = os.getenv("AWS_REGION")
# Use a single string command with AWS KB Retrieval configuration
aws_kb_agent = Agent(
instructions="""You are a helpful assistant that can interact with AWS Knowledge Base.
Use the available tools when relevant to retrieve and process AWS information.""",
llm="gpt-4o-mini",
tools=MCP("npx -y @modelcontextprotocol/server-aws-kb-retrieval",
env={
"AWS_ACCESS_KEY_ID": aws_access_key,
"AWS_SECRET_ACCESS_KEY": aws_secret_key,
"AWS_REGION": aws_region
})
)
aws_kb_agent.start("Search AWS documentation about EC2 instances")
Run the Agent
Execute your script:python aws_kb_retrieval.py
Requirements
- Python 3.10 or higher
- Node.js installed on your system
- AWS credentials (Access Key ID, Secret Access Key, and Region)
- OpenAI API key (for the agent’s LLM)