Run a bounded check
Check mybrand.com's AI visibility in quick mode. Use only the engines with configured keys and cap spend at $0.20.Claude Code / local MCP setup
Add Radar as a local stdio server, then ask Claude Code to audit a domain, prepare buyer questions, check brand or product visibility, and inspect changes between locally saved runs.
Run this from the project where you want Claude Code to use Radar:
claude mcp add --transport stdio optifeed-radar -- \
npx -y --package=optifeed-radar optifeed-mcpThen verify it:
claude mcp get optifeed-radar
claude mcp listInside Claude Code, open /mcp to inspect connection status and tools. The default local scope associates the server with the current project.
Use Optifeed Radar to run a free AI-readiness audit on mybrand.com.
Explain the findings, but do not run any tool that spends API credit.This calls audit_store, which needs no provider keys and makes no AI calls.
Check mybrand.com's AI visibility in quick mode. Use only the engines with configured keys and cap spend at $0.20.Check these products for mybrand.com, best first: Product A, Product B. Explain any absences and competitors.Compare the last two Optifeed Radar runs for mybrand.com. Summarize score and per-engine changes, with no new paid run.For paid tools, provide at least one supported provider key through the local environment or a project-local .env file. Do not paste keys into Claude prompts or commit them. Use max_cost whenever Claude starts a paid check unattended.
OPENAI_API_KEY=...
# or ANTHROPIC_API_KEY, GOOGLE_API_KEY, PERPLEXITY_API_KEY