Kambrium Documentation
Complete guide to Kambrium’s MCP (Model Context Protocol) platform for connecting AI applications to SaaS tools
Kambrium Documentation
Kambrium is an AI-native platform that connects AI applications to SaaS tools through the Model Context Protocol (MCP). Our platform enables seamless integration between AI models and external services, allowing AI applications to access real-time data and perform actions across your business tools.
What is MCP?
The Model Context Protocol is a standardized way for AI applications to interact with external systems. Kambrium implements MCP to provide:
- 🔌 Universal Connectivity: Connect AI models to any SaaS tool or API
- 🔒 Secure Authentication: OAuth 2.1 and token-based authentication
- ⚡ Real-time Data: Live access to your business data and tools
- 🛠️ Extensible Architecture: Build custom integrations and workflows
Documentation Overview
This documentation is organized to get you productive quickly, whether you’re integrating for the first time or building advanced workflows:
🚀 Get Started
New to Kambrium? Follow our quickstart guide to connect your first AI application in under 10 minutes. Includes authentication setup, MCP server creation, and sample code.
🛡️ Authentication
Set up secure access with OAuth 2.1, API tokens, and SaaS integrations. Essential for both development and production environments.
🌐 MCP Protocol
Understand the core protocol that powers Kambrium. Learn about sessions, capabilities, and the three key primitives: Tools, Resources, and Prompts.
💻 MCP Methods
API reference for MCP methods including tools/list, tools/call, resources/list, and resources/read. Complete with examples and error codes.
Popular Starting Points
Most developers begin with one of these paths: