Skip to main content

​
Custom Python MCP Client

​
Overview

The Custom Python MCP Client demonstrates how to integrate a custom Python MCP server with a PraisonAI agent. This client connects to a stock price MCP server to retrieve real-time stock information.

​
Quick Start

1

Install Dependencies

Install the required packages:
pip install praisonaiagents mcp
2

Set Up the Server

First, set up the Custom Python MCP Server.
3

Create Custom Python Client

Save the code above to a file named custom-python-client.py.
from praisonaiagents import Agent, MCP

agent = Agent(
    instructions="""You are a helpful assistant that can check stock prices and perform other tasks.
    Use the available tools when relevant to answer user questions.""",
    llm="gpt-4o-mini",
    tools = MCP("/Users/praison/miniconda3/envs/mcp/bin/python /Users/praison/stockprice/custom-python-server.py")
)

# NOTE: Python Path replace with yours: /Users/praison/miniconda3/envs/mcp/bin/python
# NOTE: custom-python-server.py file path, replace it with yours: /Users/praison/stockprice/custom-python-server.py

agent.start("What is the stock price of Tesla?")
4

Run the Client

Execute the client script:
python custom-python-client.py
Requirements
  • Python 3.10 or higher
  • praisonaiagents and mcp packages
  • A properly configured custom Python MCP server
  • OpenAI API key (for the agent’s LLM)

​
Environment Variables

For better security and flexibility, you can modify the client to use environment variables: 
import os
from praisonaiagents import Agent, MCP

# Get paths from environment variables or use defaults
python_path = os.getenv("PYTHON_PATH", "/path/to/python")
server_path = os.getenv("SERVER_PATH", "/path/to/server.py")

agent = Agent(
    instructions="""You are a helpful assistant that can check stock prices and perform other tasks.
    Use the available tools when relevant to answer user questions.""",
    llm="gpt-4o-mini",
    tools=MCP(f"{python_path} {server_path}")
)

agent.start("What is the stock price of Tesla?")
This approach allows you to set the paths using environment variables: 
export PYTHON_PATH=/Users/praison/miniconda3/envs/mcp/bin/python
export SERVER_PATH=/Users/praison/stockprice/app.py
⌘I