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Is your website ready for AI agents? Free preview: 0-100 score, A-F grade and category scores.
About
Is your website ready for AI agents? Free preview: 0-100 score, A-F grade and category scores.
Security Report
agentfit is a thin client that forwards a single URL to the public AgentReady free preview route and returns the upstream body verbatim, with no authentication and no local data handling beyond that. The code contains no exfiltration, shell execution, hardcoded secrets, or payment-key access, and the test suite confirms the paid surface is never touched. Remaining concerns are minor: the base URL can be redirected via an environment variable, the response body is read without a size limit, and the input URL is not validated locally. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.
8 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-cloudcorprecords-agentfit": {
"args": [
"-y",
"@reneturcios/agentfit"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
agentfit
Is your website ready for AI agents? agentfit asks the AgentReady service for its free preview of a site: a 0-100 score, an A-F grade and category scores covering things like agent access, readable content, discovery and agent interfaces. The score is the upstream's — nothing is computed, trimmed, renamed or summarised locally; the response body comes back exactly as the service returned it.
Free tier only — the paid surface is omitted
AgentReady also offers x402-paid routes (/v1/lite at
$0.005 and /v1/audit at $0.03, paid in USDC), and its
original stdio server pays for the full audit per call
when a wallet private key is supplied through
AGENTREADY_X402_PRIVATE_KEY. This rebuild implements
none of that. It calls only the documented free route,
GET /v1/preview?url=, which is the original server's
own default behaviour without the key. The paid routes
and the wallet-key mode are omitted entirely: this build
holds no payment instrument, never reads
AGENTREADY_X402_PRIVATE_KEY or any other wallet or
payment environment variable, and never sends an
Authorization header.
The free preview is limited upstream to 10 requests per
minute per IP; a 429 (like any other non-2xx reply)
surfaces as agentready error: HTTP 429.
Configuration
Two environment variables control the client (both are this rebuild's own, labelled):
AGENTREADY_API_URL(optional) — API base URL. Defaults tohttps://api.youraitools.co/agentready; a trailing slash is stripped.AGENTREADY_TIMEOUT_MS(optional) — per-request timeout in milliseconds, enforced with an AbortController. Defaults to30000.
Tools
audit_website— is this website ready for AI agents? Returns the free preview: a 0-100 score, an A-F grade and category scores. Takes one required argument,url(the documented REST parameter; the MCP-layer argument name is a labelled reconstruction, because the hosted MCP endpoint did not answer during spec capture).
An upstream non-2xx reply fails with
agentready error: HTTP <status> — that is how the
upstream's 400 (bad, private or internal URL), 422
(unresolvable host) and 429 (preview rate limit)
answers surface. An unreachable service, including a
timeout, fails with agentready unreachable.
CLI
The tool is a subcommand taking one JSON argument string:
npx @reneturcios/agentfit audit_website '{"url":"https://example.com"}'
npx @reneturcios/agentfit --version
Output is the tool's result text (the upstream body on
success). Exit codes: 0 on success, 1 on a runtime
error, 2 on a usage error.
MCP server
npx -y @reneturcios/agentfit mcp
MCP client config:
{
"mcpServers": {
"agentfit": {
"command": "npx",
"args": ["-y", "@reneturcios/agentfit", "mcp"]
}
}
}
Docker
docker run -i ghcr.io/cloudcorprecords/agentfit
docker run --rm ghcr.io/cloudcorprecords/agentfit audit_website '{"url":"https://example.com"}'
Development
npm install
npm run build # tsc -> dist/
npm test # tsx --test test/*.test.ts (fake fetch only, no network)
npm run dev # run the CLI from source
License
MIT — Copyright (c) 2026 Rene Turcios
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