Natural-language operation
Connect the stdio MCP server, then ask your agent to audit a domain, generate buyer questions, run a visibility check, inspect products, or compare snapshots.
See all five MCP tools →Agents / choose a surface
Optifeed Radar can be operated by an AI agent through a local MCP server or a JSON-first command line. It runs on your machine, uses your provider keys, and preserves the evidence behind each result.
Connect the stdio MCP server, then ask your agent to audit a domain, generate buyer questions, run a visibility check, inspect products, or compare snapshots.
See all five MCP tools →Ask an agent with shell access to run Radar directly. The CLI supports free audits, paid visibility runs, product checks, reports, diffs, sources, and machine-readable output.
See CLI commands →Add the published stdio server with one command, verify it with codex mcp list, and begin with the free readiness audit.
Add Radar in Claude Code's local scope, inspect it through /mcp, then promote the setup only after the free audit works.
Use audit yourbrand.com or ask the MCP server to call audit_store. It checks crawler access, llms.txt, structured data, metadata, and the sitemap without calling an AI model.
Generate or export the prompt pack before a paid run so the category and intent are visible.
Visibility and shopping checks use your provider credit. Start with quick mode and an explicit max_cost.
Treat scores as point-in-time estimates. Open the captured answers, positions, cited sources, and absences underneath the headline number.