Agents built on Claude, ChatGPT and open models don't just read about tools anymore. They compare them, sign up for them and call their APIs on a user's behalf. Products that are easy for agents to understand and operate get chosen more often.
What agents look for
- A plain-HTML pricing page with real numbers
- Public docs and quickstarts linked from the homepage and llms.txt
- An OpenAPI spec at a predictable URL such as /openapi.json
- An MCP server so agents can use the product as a tool
- Clear limits, auth instructions and error messages
Ship an MCP server
The Model Context Protocol lets any compatible agent discover and call your tools. A remote MCP server over Streamable HTTP is the simplest option: one endpoint, no install for users. Publish it to the official MCP Registry so directories and clients can find it.
Example: RankRoot's own setup
RankRoot exposes /api/mcp (remote MCP), /openapi.json, /.well-known/mcp.json and /llms.txt, and is listed in the official MCP Registry as io.github.zachhhhh/rankroot. Add it to any MCP client to audit a site's agent readiness:
{
"mcpServers": {
"rankroot": { "url": "https://rankroot-ai.netlify.app/api/mcp" }
}
}