Connectto GitLab MCP Server

Seamlessly integrate your CrewAI multi-agent systems with GitLab using Klavis AI's comprehensive MCP server connection guide.

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GitLab

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GitLab is a comprehensive DevOps platform that provides Git repository management, CI/CD pipelines, issue tracking, and project management. Manage repositories, branches, merge requests, issues, pipelines, and collaborate with your development team

Quick Setup Guide

Follow these steps to connect CrewAI to this MCP server

1

Create Your Account

Sign up for KlavisAI to access our MCP server management platform.

2

Configure Agents & Tools

Set up your CrewAI agents with the MCP server tools and configure authentication settings for collaborative workflows.

3

Deploy Your Crew

Test your multi-agent workflows and start using your enhanced collaborative AI capabilities.

CrewAI + KlavisAI Integration Snippets

import os
from crewai import Agent, Task, Crew, Process
from crewai_tools import MCPServerAdapter
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType

# Initialize clients
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))

gitlab_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.GITLAB,
    user_id="1234",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

with MCPServerAdapter(gitlab_mcp_instance.server_params) as mcp_tools:
    # Create a GitLab Analysis Agent
    gitlab_agent = Agent(
        role="GitLab Analyst",
        goal="Research and analyze gitlab to extract comprehensive insights",
        backstory="You are an expert at analyzing gitlab and creating professional summaries.",
        tools=mcp_tools,
        reasoning=True,
        verbose=False
    )
    
    # Define Task
    analysis_task = Task(
        description=f"Research and analyze gitlab data. Extract relevant information and create a comprehensive summary with key points and main takeaways.",
        expected_output="Complete analysis with structured summary, key insights, and main takeaways",
        agent=gitlab_agent,
        markdown=True
    )
    
    # Create and execute the crew
    gitlab_crew = Crew(
        agents=[gitlab_agent],
        tasks=[analysis_task],
        verbose=False,
        process=Process.sequential
    )
    
    result = gitlab_crew.kickoff()

Frequently Asked Questions

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