The xpander.ai ecosystem offers several packages to help you build, manage, and integrate with AI agents. Each package serves a specific purpose in the xpander platform.

Available Packages

Installation Guides

xpander-sdk

Available in multiple languages:

pip install xpander-sdk
from xpander_sdk import XpanderClient

# Initialize with API key
client = XpanderClient(api_key="your-xpander-api-key")

The SDK provides advanced features including:

  • AGS (Function Calling Dependencies): Manage complex function calling dependencies
  • Scheme Editor: Visual editor for function calling overides (Input Scheme and Output Scheme)
  • Managed Human Interfaces: Integrations with Slack and other collaboration platforms
  • Cross-Framework Compatibility: Work seamlessly with various LLM providers and Agent Frameworks

xpander-cli

Available in multiple languages:

# Install the CLI
pip install xpander-cli

# Login to xpander
xpander login

# List available agents
xpander agents list

# Create a new agent
xpander agents create --name "My Agent" --type regular

The CLI allows you to manage your xpander.ai resources directly from the terminal.

xpander-mcp-remote

A command-line utility primarily used with npx to connect MCP clients like Claude Desktop to xpander.ai services.

# Install globally (optional, as it's typically used with npx)
npm install -g xpander-mcp-remote

Typical usage in Claude Desktop configuration:

{
  "mcpServers": {
    "xpander": {
      "command": "npx",
      "args": [
        "xpander-mcp-remote",
        "https://mcp.xpander.ai/your-mcp-url/"
      ]
    }
  }
}

The xpander-mcp-remote package creates a bridge between MCP clients and the xpander.ai platform, enabling:

  • MCP Composition: Selectively expose operations from multiple connectors
  • Agent Access: Trigger AI agents from MCP clients
  • Connector Integration: Connect MCP clients to specific connectors like GitHub, Slack, etc.

For detailed setup instructions, refer to the MCP Integration documentation.

xpander-utils (Python only)

pip install xpander-utils

# Use with various frameworks
import xpander_utils

# Example with LangGraph
from xpander_utils.integrations import langgraph_connector
graph = langgraph_connector.create_xpander_graph("my-agent-id")

Utilities library for integrating xpander with AI agent frameworks such as:

  • Hugging Face
  • CrewAI
  • ChainLit
  • LangGraph
  • And more

Core Documentation

Additional Resources