Documentation Index
Fetch the complete documentation index at: https://www.klavis.ai/docs/llms.txt
Use this file to discover all available pages before exploring further.
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:View All Integrations
Browse our complete catalog of MCP server integrations
Getting Started
Quick Start Guide
Get up and running in under 5 minutes
Learn More
MCP Official Spec
Read the official Model Context Protocol specification
GitHub Repository
Explore our open-source repo
Community Discord
Join our developer community
