version: "1.0.0" name: is-agentic description: Score how ready a website, domain, or public MCP endpoint is for AI agents using Is Agentic, and read or act on the resulting report. Use when asked to check a site's agent readiness, get its Is Agentic score, fetch a scored report as JSON, or fix the issues that lower a site's score. metadata: priority: 4 docs:

• "https://is-agentic.com/docs"
• "https://is-agentic.com/llms.txt"

bashPatterns:

• '\bnpx\s+is-agentic\b'
• '\bbunx\s+is-agentic\b'
• '\bskills\s+add\s+vercel-labs/is-agentic\b'
• '\bcurl\s+[^\n]*is-agentic\.com/api\b'

Is Agentic

Is Agentic runs a technical audit of a public URL and publishes a 0 to 100 agent-readiness score with evidence-backed issues and recommended fixes. All interfaces below are public, read-only, and free; none needs an API key.

Get a score

Default: the official CLI. It returns a stored report immediately, or starts a scan and waits when none exists.

npx is-agentic <domain> --json

Omit --json only when a human is reading the terminal output.

When you cannot run commands, use the read-only API instead. It never starts a scan; a 404 means no completed report exists yet.

GET https://is-agentic.com/api/v1/report?url=<url-encoded-target>

MCP hosts can connect to the Streamable HTTP endpoint https://is-agentic.com/mcp and call is_agentic_get_report, is_agentic_get_methodology, or is_agentic_get_developer_docs.

Read a report

The JSON response is a PublicScanReport:

• score: 0 to 100, or null when the target could not be scored (for example an MCP server that requires authentication). score_label explains a null score.
• score_breakdown.essential and .recommended: each has earned, available, passing, total. Essential checks are the ones that matter most; a site can look polished and still fail them.
• score_breakdown.bonus: points and positive_signals. Bonus is additive and never required; do not treat missing bonus signals as defects.
• issues[]: each has id, name, tier (essential | recommended | bonus), result (failed | partial), details (evidence from the scan), and recommendation (the fix).
• report_url: the canonical human-readable report. Cite it when reporting a score to a person.
• scanned_at: when the audit ran. Reports are immutable snapshots.

Improve a site's score

1. Fetch the report for the exact target you are improving.
2. Work through issues in this order: essential failures, essential partials, then recommended. Ignore bonus unless everything else passes.
3. For each issue, details says what the scan observed and recommendation says what to change. Prefer the recommendation; it was written against the actual evidence.
4. After deploying fixes, get a fresh score and compare scanned_at to confirm you are not reading the old snapshot (see gotchas).

Errors

Failures are RFC 9457 application/problem+json with a stable code and a resolution hint. Act on the code:

• invalid_url (400): pass a public HTTP or HTTPS URL.
• report_not_found (404): no completed report exists; create one with the CLI, or open https://is-agentic.com/scan/<target> to start a scan, then retry after it completes.
• rate_limit_exceeded (429): honor Retry-After before retrying.
• report_temporarily_unavailable (503): retry shortly; do not start a new scan.

Gotchas

• Reports refresh only when a visit finds them older than 6 hours. Re-running the CLI right after deploying a fix returns the same stored snapshot; check scanned_at before drawing conclusions, and use the Rescan control on the report page when a human needs an immediate re-run.
• The API and the CLI differ on missing reports: the API returns 404, the CLI starts a scan and waits. Pick accordingly.
• Targets are exact: example.com/docs and example.com are separate reports, and a URL with a query string is its own report.
• The rate limit is 120 requests per IP per 60 seconds.
• For token-light reading, content pages and completed reports honor Accept: text/markdown.