Connectto Confluence, Figma, GitHub MCP Servers

Create powerful collaborative AI workflows by connecting multiple MCP servers including Confluence, Figma, GitHub for enhanced multi-agent automation capabilities in Klavis AI.

Confluence icon

Confluence

featured

Confluence is a team workspace where knowledge and collaboration meet

Available Tools:

  • confluence_create_page
  • confluence_get_page
  • confluence_get_pages_by_id
  • +11 more tools
Figma icon

Figma

featured

Figma is a collaborative interface design tool for web and mobile applications.

GitHub icon

GitHub

featured

Enhanced GitHub MCP Server

Available Tools:

  • github_get_me
  • github_get_issue
  • github_search_issues
  • +31 more tools

Quick Setup Guide

Follow these steps to connect CrewAI to these MCP servers

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 your desired MCP servers 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"))

confluence_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.CONFLUENCE,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

figma_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.FIGMA,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

github_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.GITHUB,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

# Initialize MCP tools for each server
confluence_tools = MCPServerAdapter(confluence_mcp_instance.server_params)
figma_tools = MCPServerAdapter(figma_mcp_instance.server_params)
github_tools = MCPServerAdapter(github_mcp_instance.server_params)

# Create specialized agents for each service
confluence_agent = Agent(
    role="Confluence Specialist",
    goal="Handle all Confluence related tasks and data processing",
    backstory="You are an expert in Confluence operations and data analysis",
    tools=confluence_tools,
    reasoning=True,
    verbose=False
)

figma_agent = Agent(
    role="Figma Specialist",
    goal="Handle all Figma related tasks and data processing",
    backstory="You are an expert in Figma operations and data analysis",
    tools=figma_tools,
    reasoning=True,
    verbose=False
)

github_agent = Agent(
    role="GitHub Specialist",
    goal="Handle all GitHub related tasks and data processing",
    backstory="You are an expert in GitHub operations and data analysis",
    tools=github_tools,
    reasoning=True,
    verbose=False
)

# Define collaborative tasks
research_task = Task(
    description="Gather comprehensive data from all available sources",
    expected_output="Raw data and initial findings from all services",
    agent=confluence_agent,
    markdown=True
)

analysis_task = Task(
    description="Analyze and synthesize the gathered data",
    expected_output="Comprehensive analysis with insights and recommendations",
    agent=figma_agent,
    markdown=True
)

# Create multi-agent crew
multi_agent_crew = Crew(
    agents=[confluence_agent, figma_agent, github_agent],
    tasks=[research_task, analysis_task],
    verbose=False,
    process=Process.sequential
)

result = multi_agent_crew.kickoff()

Frequently Asked Questions

Everything you need to know about connecting CrewAI to these MCP servers

Ready to Get Started?

Join developers who are already using KlavisAI to power their CrewAI multi-agent systems with these MCP servers.

Start For Free