File: //opt/PraisonAI/docs/mcp/github.mdx
---
title: "GitHub MCP Integration"
sidebarTitle: "GitHub"
description: "Guide for integrating GitHub repository management with PraisonAI agents using MCP"
icon: "github"
---
## Add GitHub Tool to AI Agent
```mermaid
flowchart LR
In[Query] --> Agent[AI Agent]
Agent --> Tool[GitHub MCP]
Tool --> Agent
Agent --> Out[Answer]
style In fill:#8B0000,color:#fff
style Agent fill:#2E8B57,color:#fff
style Tool fill:#181717,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 GitHub Personal Access Token as an environment variable in your terminal:
```bash
export GITHUB_PERSONAL_ACCESS_TOKEN=your_github_token_here
export OPENAI_API_KEY=your_openai_api_key_here
```
</Step>
<Step title="Create a file">
Create a new file `github_agent.py` with the following code:
```python
from praisonaiagents import Agent, MCP
import os
# Use the API key from environment or set it directly
github_token = os.getenv("GITHUB_PERSONAL_ACCESS_TOKEN")
# Use a single string command with environment variables
github_agent = Agent(
instructions="""You are a helpful assistant that can interact with GitHub.
Use the available tools when relevant to answer user questions.""",
llm="gpt-4o-mini",
tools=MCP("npx -y @modelcontextprotocol/server-github",
env={"GITHUB_PERSONAL_ACCESS_TOKEN": github_token})
)
github_agent.start("List my GitHub repositories")
```
</Step>
<Step title="Run the Agent">
Execute your script:
```bash
python github_agent.py
```
</Step>
</Steps>
<Note>
**Requirements**
- Python 3.10 or higher
- Node.js installed on your system
- GitHub Personal Access Token
- OpenAI API key (for the agent's LLM)
</Note>