51 lines
1.5 KiB
Markdown
51 lines
1.5 KiB
Markdown
# PocketFlow MCP Demo
|
|
|
|
This project shows how to build an agent that performs addition using PocketFlow and Model Context Protocol (MCP). It presents a comparison between using MCP and basic function calling approaches.
|
|
|
|
## Features
|
|
|
|
- Addition operations through a simple terminal interface
|
|
- Integration with Model Context Protocol (MCP)
|
|
- Comparison between MCP and direct function calling
|
|
|
|
## How to Run
|
|
|
|
1. Set your API key:
|
|
```bash
|
|
export OPENAI_API_KEY="your-api-key-here"
|
|
```
|
|
Or update it directly in `utils.py`
|
|
|
|
2. Install and run:
|
|
```bash
|
|
pip install -r requirements.txt
|
|
python main.py
|
|
```
|
|
|
|
## MCP vs Basic Function Calling
|
|
|
|
### Basic Function Calling
|
|
- Functions are directly embedded in application code
|
|
- Each new tool requires modifying the application
|
|
- Tools are defined within the application itself
|
|
|
|
### MCP Approach
|
|
- Tools live in separate MCP servers
|
|
- Standard protocol for all tool interactions
|
|
- New tools can be added without changing the agent
|
|
- AI can interact with tools through a consistent interface
|
|
|
|
## How It Works
|
|
|
|
|
|
The agent uses PocketFlow to create a workflow where:
|
|
1. It takes user input about numbers
|
|
2. Connects to the MCP server for addition operations
|
|
3. Returns the result
|
|
|
|
## Files
|
|
|
|
- [`main.py`](./main.py): Implementation of the addition agent using PocketFlow
|
|
- [`utils.py`](./utils.py): Helper functions for API calls and MCP integration
|
|
- [`simple_server.py`](./simple_server.py): MCP server that provides the addition tool
|
|
- [`simple_client.py`](./simple_client.py): Example client that connects to the MCP server |