OpenClaw FAQs

Question 1

What is the Model Context Protocol (MCP) and how does OpenClaw use it?

Accepted Answer

The Model Context Protocol (MCP) enables AI agents to access external tools and data. OpenClaw functions as an MCP server, allowing agents to call its `forecast_deployment_cost` tool to retrieve verified, real-time cloud pricing data.

Question 2

How does OpenClaw manage access and subscriptions?

Accepted Answer

It implements a revenue-gated access model with a free tier (25 operations/month) and an upgrade path. Usage limits are communicated directly within the AI agent's conversation, not as HTTP errors, for a seamless user experience. Stripe is integrated for subscription management.

Question 3

What is OpenClaw FinOps?

Accepted Answer

OpenClaw FinOps is a remote Model Context Protocol (MCP) server that provides AI agents with accurate, real-time cloud deployment cost forecasts across multiple providers (AWS, GCP, Azure), preventing pricing hallucinations.

Question 4

How does OpenClaw prevent AI pricing hallucinations?

Accepted Answer

Instead of LLMs guessing costs, OpenClaw acts as a grounded pricing oracle. It queries a verified, deterministic pricing matrix to return exact, line-item breakdowns of cloud service costs directly into the agent's conversation.

Question 5

Which cloud providers and services does OpenClaw support?

Accepted Answer

OpenClaw supports multi-cloud pricing for core services on AWS, Google Cloud Platform (GCP), and Microsoft Azure, including various compute instances, managed databases (Postgres), and caching services (Redis).

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