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Developers

Designed to be integrated, not just used.

RUUT is designed to be integrated, not just used. Your systems become governed tools for agents, models are interchangeable, and even this website can be queried by your own AI agent.

Integration model

  • Governed tools. Systems are exposed to agents as tools over the Model Context Protocol (opens in a new tab), each agent with an explicit allow-list and nothing more.
  • Model-agnostic orchestration. RUUT BRAIN routes each step to a model: open-weight models you host, or providers you approve.
  • Verification on every path. RUUT FORGE screens inputs, checks tool calls against policy and validates outputs before anything executes.
  • Traces by default. Every run records inputs, retrieval, tool calls, checks, approvals, latency and cost per step.

This website is agent-readable

We built ruutlabs.in the way we build agent systems: content first, machine-readable by design. Every page is server-rendered HTML, and the same content is available in formats agents prefer.

InterfaceWhat it gives you
/llms.txtA curated index of the site for language models.
/llms-full.txtThe full site content as one plain-text document.
/{page}.mdA clean Markdown version of any page, e.g. /platform/forge.md.
/.well-known/ruutlabs.jsonCompany facts and the product list as JSON.
/api/mcpA public, read-only MCP server your AI agent can query directly.

Connect your agent to RUUT Labs over MCP

The RUUT Labs MCP server exposes read-only tools — search_site, get_product, list_solutions, get_company_facts — and one write tool, request_intro, which sends a contact request only after you confirm it. Add it to any MCP client that supports remote servers over Streamable HTTP:

{
  "mcpServers": {
    "ruutlabs": {
      "type": "http",
      "url": "https://ruutlabs.in/api/mcp"
    }
  }
}

Building something that needs agents?

No public pricing — every deployment is scoped to your data, infrastructure and risk tolerance.