File: //opt/PraisonAI/docs/mcp/gitlab.mdx
---
title: "GitLab MCP Integration"
sidebarTitle: "GitLab"
description: "Guide for integrating GitLab repository management with PraisonAI agents using MCP"
icon: "gitlab"
---
## Add GitLab Tool to AI Agent
```mermaid
flowchart LR
In[Query] --> Agent[AI Agent]
Agent --> Tool[GitLab MCP]
Tool --> Agent
Agent --> Out[Answer]
style In fill:#8B0000,color:#fff
style Agent fill:#2E8B57,color:#fff
style Tool fill:#FC6D26,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 Keys">
Set your GitLab credentials as environment variables in your terminal:
```bash
export GITLAB_PERSONAL_ACCESS_TOKEN=your_gitlab_token_here
export GITLAB_API_URL=https://gitlab.com/api/v4
export OPENAI_API_KEY=your_openai_api_key_here
```
</Step>
<Step title="Create a file">
Create a new file `gitlab_agent.py` with the following code:
```python
from praisonaiagents import Agent, MCP
import os
# Use the API token and URL from environment or set directly
gitlab_token = os.getenv("GITLAB_PERSONAL_ACCESS_TOKEN")
gitlab_api_url = os.getenv("GITLAB_API_URL", "https://gitlab.com/api/v4")
# Use a single string command with environment variables
gitlab_agent = Agent(
instructions="""You are a helpful assistant that can interact with GitLab.
Use the available tools when relevant to answer user questions.""",
llm="gpt-4o-mini",
tools=MCP("npx -y @modelcontextprotocol/server-gitlab",
env={
"GITLAB_PERSONAL_ACCESS_TOKEN": gitlab_token,
"GITLAB_API_URL": gitlab_api_url
})
)
gitlab_agent.start("List my GitLab projects")
```
</Step>
<Step title="Run the Agent">
Execute your script:
```bash
python gitlab_agent.py
```
</Step>
</Steps>
<Note>
**Requirements**
- Python 3.10 or higher
- Node.js installed on your system
- GitLab Personal Access Token
- OpenAI API key (for the agent's LLM)
</Note>