API Overview - xpander.ai

Three powerful ways to integrate with the platform. Choose the approach that best fits your use case:

REST API

Control Plane REST APIUniversal HTTP endpoints for managing agents, tasks, and knowledge bases from any programming language.Perfect for: Multi-language apps, microservices, web applications

Python SDK

SDK for Building AgentsComprehensive Python library with decorators, event handling, and framework integration for building sophisticated AI agents.Perfect for: Python applications, rapid prototyping, complex workflows

MCP Protocol

MCP for Agent DiscoveryModel Context Protocol for discovering agents and scheduling tasks from Claude Desktop, Cursor, and other MCP clients.Perfect for: IDE integration, AI client access, standardized protocols

Quick Comparison

Feature	REST API	Python SDK	MCP Protocol
Language Support	Any language	Python only	Any MCP client
Use Case	Control plane operations	Building agents	Discovering & invoking agents
Setup	API key only	pip install	MCP client config
Best For	CRUD operations	Agent development	IDE/AI client integration

Getting Started

Get API Credentials

Choose Your Integration

Select REST API for universal access, Python SDK for agent development, or MCP for AI client integration

Follow the Guide

Each integration method has comprehensive documentation and examples to get you started quickly

Authentication

All three integration methods use the same authentication:

# Set your API key
export XPANDER_API_KEY="your-api-key"
export XPANDER_ORGANIZATION_ID="your-org-id"

Support & Resources

User Guide

Complete platform documentation

Examples

Code examples and tutorials

Community

Join our Slack community

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