What is Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open standard that unifies how AI models communicate with external tools and services. It acts as a bridge between Large Language Models (LLMs) and the real world, enabling AI agents to interact with databases, APIs, files, and other systems in a standardized way.
How MCP Works
MCP follows a simple client-server architecture:- MCP Client: The AI assistant or application (like Claude Desktop, Cursor, or your custom AI agent)
- MCP Server: A specialized backend that exposes tools to interact with external systems
- Tools: Individual functions that the AI can call to perform specific actions
Key Benefits
Standardized Integration
One protocol for all external integrations - no more custom, one-off connections
Tool Ecosystem
Access to 100+ pre-built tools across CRM, productivity, and development platforms
Security & Authentication
Built-in OAuth flows and secure credential management
Scalable Architecture
Production-ready hosted infrastructure with self-hosting options
MCP Server Types
Hosted MCP Servers (Recommended)
Klavis AI provides production-ready hosted MCP servers that eliminate setup complexity:- ✅ No infrastructure management
- ✅ Built-in OAuth authentication
- ✅ Automatic updates and maintenance
- ✅ 99.9% uptime SLA
Self-Hosted MCP Servers
For custom requirements or on-premises deployments:Available MCP Integrations
Klavis AI offers 100+ MCP servers across different categories:Communication & Collaboration
- Gmail, Slack, Discord, WhatsApp
- Google Calendar, Outlook, Zoom
Productivity & Project Management
- Notion, Airtable, Monday.com
- Asana, Linear, Jira, ClickUp
CRM & Sales
- Salesforce, HubSpot, Close
- Attio, Affinity, Gong
Development & Infrastructure
- GitHub, Supabase, PostgreSQL
- Stripe, QuickBooks, Dropbox
View All Integrations
Browse our complete catalog of MCP server integrations