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AI Integration

SpendOwl documentation is available as an MCP (Model Context Protocol) server, allowing AI tools to search and reference our docs directly.

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MCP Server URL

https://docs.spendowl.io/mcp

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Supported Tools

Claude

Anthropic’s Claude can search SpendOwl docs in real-time

Claude Code

CLI tool with direct MCP integration

Cursor

AI-powered code editor

VS Code

With GitHub Copilot or other AI extensions

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Setup Instructions

Add SpendOwl docs to Claude Code:
claude mcp add --transport http spendowl-docs https://docs.spendowl.io/mcp
Now Claude Code can search SpendOwl documentation when answering questions about the SDK.

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Available Tools

Once connected, your AI assistant can use:
ToolDescription
SearchSpendOwlSearch across the knowledge base for documentation, code examples, and guides

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Example Prompts

After connecting, try asking your AI:
  • “How do I configure SpendOwl in a SwiftUI app?”
  • “What’s the difference between attributed and organic in SpendOwl?”
  • “Show me how to handle SpendOwl errors”
  • “What data does AttributionResult contain?”
The AI will search SpendOwl docs and provide accurate, up-to-date answers.

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Benefits

AI tools query the latest docs, not outdated training data.
Get accurate Swift code examples directly from our documentation.
AI understands SpendOwl’s architecture and can provide relevant guidance.

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What is MCP?

Model Context Protocol (MCP) is an open standard that lets AI applications connect to external data sources. Instead of relying on training data, AI tools can query live documentation for accurate answers.
MCP is supported by Anthropic, Cursor, and other AI tool providers.