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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.
MCP Architecture Overview

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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

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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

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MCP Server Types

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
from klavis import Klavis

klavis = Klavis(api_key="your-api-key")
server = klavis.mcp_server.create_strata_server(...)

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Self-Hosted MCP Servers

For custom requirements or on-premises deployments: 
# Run any MCP server with Docker
docker run -p 5000:5000 ghcr.io/klavis-ai/gmail-mcp-server:latest

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Available MCP Integrations

Klavis AI offers 100+ MCP servers across different categories:

View All Integrations

Browse our complete catalog of MCP server integrations

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Getting Started

Quick Start Guide

Get up and running in under 5 minutes

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Learn More

MCP Official Spec

Read the official Model Context Protocol specification

GitHub Repository

Explore our open-source repo

Community Discord

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