Server data from the Official MCP Registry
Score any website's AI-agent readiness. Open Agent Registry scanner + platform tools.
Score any website's AI-agent readiness. Open Agent Registry scanner + platform tools.
Remote endpoints: streamable-http: https://myagi.bot/api/mcp
OpenAgent Registry is a well-structured Next.js web application for scanning and scoring sites on agent-readiness. The codebase is clean with proper TypeScript types, transparent scoring logic, and no authentication/authorization concerns since it's a public registry service. Permissions are appropriate for the stated purpose (network scanning, file caching, environment access). Minor code quality observations include broad exception handling and some input validation opportunities, but these do not constitute security vulnerabilities. Supply chain analysis found 7 known vulnerabilities in dependencies (0 critical, 1 high severity).
6 files analyzed · 11 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
The open registry, scanner, and leaderboard for agent-ready websites and services.
OpenAgent Registry (OAR) does three things in one place:
llms.txt, agents.txt / agents.json, AGENTS.md, .well-known/agent-card.json, robots.txt + Content Signals, OpenAPI, OAuth discovery, RSL licensing, MCP/A2A registry presence - and aggregates upstream registries instead of re-doing their work.Sources of authoritative scoring credit (registries / standards bodies):
Community resources used for domain discovery only (no score credit; we use these to know which sites to scan):
llms.txtllms.txt validation toolkitWhat OAR adds that none of the above does today:
Pre-alpha but live. Public deploy: https://openagent-registry.vercel.app.
After the v0.1 import, the registry tracks 1,400+ services across 6 industry categories, sourced from the original seed plus an import of llms-txt-hub. Every service has a live score, a label, and a generated approval-path checklist. Looking for contributors - especially for approval-path data per service (the moat).
pnpm install
pnpm dev
Then open http://localhost:3000.
See docs/rubric.md. Every signal is weighted, every weight is published, every score is reproducible from the JSON profile. No black-box scoring.
The current rubric (summary):
| Signal | Points |
|---|---|
| Official MCP server in MCP Registry | +25 |
| A2A Agent Card found | +25 |
agents.json (root or .well-known) | +15 |
| OpenAPI spec found | +15 |
| Web Bot Auth / signed-agent support | +15 |
| Official developer docs | +10 |
| Partner / approval path documented | +10 |
| OAuth/OIDC discovery | +10 |
agents.txt standard | +10 |
llms.txt | +8 |
AGENTS.md | +8 |
| RSL / licensing manifest | +8 |
robots.txt allows docs/API | +5 |
| Cloudflare Content Signals present | +5 |
llms-full.txt (extended) | +5 |
| Listed in llms-txt-hub | +5 |
| Listed in Agent Friendly Directory | +5 |
ai-plugin.json (deprecated signal) | +2 |
| Explicit bot/agent prohibition | -50 |
| Blocks automation, no API alternative | -30 |
| Unknown terms / can't parse | -10 |
Labels:
| Score | Label |
|---|---|
| 80–100 | Agent-ready |
| 60–79 | Agent-friendly |
| 40–59 | Partially agent-accessible |
| 20–39 | API-only / limited |
| 0–19 | Unknown |
| <0 | Likely blocked |
llms.txtWithin each category, services are ranked by their AgentRank score. The category page is the SEO-friendly editorial surface: "Top agent-ready rental sites, [month] [year]".
See CONTRIBUTING.md. The three highest-leverage contributions today:
data/seed.json (a category, a homepage URL, optional notes) - opens a PR; CI runs a scan against it.Be the first to review this server!
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