MCPInstall

is-agentic

by vercelAI & Agents

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.

Installs
64
Last 24h
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Trending rank
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Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/vercel/vercel-plugin --skill is-agentic
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads is-agentic automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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.

FAQ

What does the is-agentic skill do?

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.

How do I install is-agentic?

Run npx skills add https://github.com/vercel/vercel-plugin --skill is-agentic in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/is-agentic/ (personal) or .claude/skills/is-agentic/ (project).

Which AI agents can use is-agentic?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is is-agentic safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains is-agentic?

It is published by vercel in vercel/vercel-plugin. It has 64 recorded installs.

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