Lago has been able to follow the pace of our releases and has allowed us to focus on what we do best.

Lago for AI agents
Run the isolated local demo to see Lago turn usage into a charge. For production, Lago Cloud runs the billing service while your agent connects your application through the API or SDK. Self-hosting is optional.
Use the API in your application, the CLI in your terminal, or MCP in a connected assistant. Choose the path that fits your workflow.
Inspect customers, configure billing, and check results from your terminal. JSON output fits scripts and coding agents.
Use the CLI
Give your assistant connected tools for live billing data and supported operations. Configure the Lago environment and API key before use.
Connect the MCP server
Build billing into your application with the REST API or an official SDK. Give your agent the OpenAPI specification for exact request and response fields.
Explore the API
See how ambitious teams build and scale their billing with Lago.
Lago has been able to follow the pace of our releases and has allowed us to focus on what we do best.

No. Give your agent the public documentation, then use the REST API, CLI, or product MCP for the work you need. The optional Lago plugin is public and packages billing guidance and examples for Claude Code and Codex. See github.com/getlago/lago-plugin for installation instructions.
You can read the public documentation and design an integration without a Lago account or API key. Checking real billing behavior requires a configured environment. Use a separate Lago Cloud organization or an isolated self-hosted instance for tests.
No. Lago Cloud is a managed billing service. Your team integrates application data, configures pricing, and connects a payment provider; Lago operates the Cloud billing infrastructure. Enterprises and regulated teams can instead self-host in their own VPC, on-premises, or air-gapped environment when required.
Use the CLI for terminal workflows, scripts, and coding agents that can run shell commands. Use the product MCP server for assistants that call connected tools. Both access Lago through configured credentials. You do not need both.
Your application uses a Lago SDK or the REST API. The CLI and MCP give agents and operators convenient ways to work with Lago; application code does not need to run them.