Supercharge CrewAI with Klavis MCP Servers: The Ultimate Multi-Agent AI Platform

·12 min read

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Klavis AI's auth/sign-upproduction-ready Model Context Protocol (MCP) servers seamlessly integrate with CrewAI, unlocking powerful multi-agent AI workflows. Our comprehensive MCP ecosystem provides CrewAI users with instant access to 50+ enterprise-grade integrations.

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See Klavis MCP servers transform CrewAI capabilities:

View Complete Code Examples →

Get Started

📖 Integration Guide - Complete setup and code examples

  1. Sign up for Klavis AI - Access 50+ enterprise MCP servers
  2. Watch the Demo - See the integration in action
  3. View Pricing - Choose your plan
  4. Join our Community - Get support and share your AI workflows

The Klavis Advantage for CrewAI

While CrewAI provides excellent agent orchestration, Klavis MCP servers deliver the real-world connectivity your AI agents need. CrewAI recently featured Klavis in this LinkedIn post, recognizing how our MCP ecosystem elevates multi-agent workflows.

Key Benefits

Production-Ready: Battle-tested in enterprise environments with reliable, secure connections to critical business systems.

Comprehensive Ecosystem: 50+ MCP servers covering communication, development, data, and business tools.

Zero-Configuration: Works out-of-the-box with CrewAI's MCPServerAdapter.

Enterprise Security: Built-in OAuth flows and access controls for secure AI agent operations.

Use Cases

Multi-Service Workflow: Combine Klavis YouTube and Gmail MCPs to create two-agent crews—one researches video content while another drafts and sends executive briefings.

Business Intelligence: CrewAI agents powered by Klavis Salesforce, Google Sheets, and communication MCPs automate sales workflows: prospect research, CRM updates, data analysis, and stakeholder reporting.

Quick Setup

  1. Install: pip install crewai 'crewai-tools[mcp]' klavis openai
  2. Configure: Set your Klavis and OpenAI API keys
  3. Create: Use Klavis SDK to generate MCP server endpoints
  4. Connect: Integrate via CrewAI's MCPServerAdapter
  5. Deploy: Create specialized agents with Klavis MCP tools

Implementation Example

# Create multiple Klavis MCP server instances
youtube_mcp = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.YOUTUBE, user_id="1234"
)
gmail_mcp = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.GMAIL, user_id="1234"
)

# Configure and create multi-agent crew
mcp_params = [
    {"url": youtube_mcp.server_url, "transport": "streamable-http"},
    {"url": gmail_mcp.server_url, "transport": "streamable-http"}
]

with MCPServerAdapter(mcp_params) as tools:
    research_agent = Agent(role="Research Specialist", tools=tools)
    communication_agent = Agent(role="Communications Manager", tools=tools)
    
    crew = Crew(agents=[research_agent, communication_agent], tasks=[...])
    result = crew.kickoff()

Available MCP Servers

Communication: Gmail, Slack, Discord, Outlook
Content & Media: YouTube, Notion, Google Docs, WordPress
Development: GitHub, Jira, Linear, Confluence
Data & Analytics: Google Sheets, Supabase, PostgreSQL
Business Tools: Salesforce, HubSpot, Asana, ClickUp
Cloud Storage: Google Drive, Dropbox, OneDrive

Enterprise Features

Security & Authentication

  • OAuth Enterprise White-label: Complete control over authentication branding and flow
  • Customizable Security: Tailored security solutions based on enterprise requirements
  • SOC 2 Compliance: Comprehensive security audit and certification

Production Deployment

  • 99.9% Uptime SLA: Enterprise-grade reliability and monitoring
  • Global Infrastructure: Distributed deployment with regional compliance
  • Performance Optimization: Sub-second response times

Enterprise Support

  • Global Support Team: Distributed across multiple time zones
  • CEO & CTO Direct Support: Executive-level technical assistance
  • Custom MCP Development: Bespoke integrations for unique requirements

Customer Success

Sales Automation: 300% productivity increase with automated prospect research and CRM updates
Knowledge Management: 80% faster insight delivery with video analysis and team distribution
DevOps Coordination: 50% reduction in deployment time with automated workflows


Interested in learning more about Klavis MCP servers? Schedule a call

Supercharge CrewAI with Klavis MCP servers. Production-ready AI automation for enterprise.