Myagi - Open Agent Registry
Score any website's AI-agent readiness. Open Agent Registry scanner + platform tools.
Open source Repository Open in the app JSON README (API)
About
Score any website's AI-agent readiness. Open Agent Registry scanner + platform tools.
Details
- Kind
- MCP servers
- Topic
- AI, RAG & memory
- Publisher
- bot.myagi
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 0.1.0
- Forks
- 2
- Open pull requests
- 8
- Last push
- 2026-09-07T13:11:03Z
- Repository state
- ativo
- Language
- TypeScript
- License
- Apache-2.0
- Added
- 2026-08-29 03:00:49
- Updated
- 2026-08-29 03:00:49
- Origin id
bot.myagi/openagent-registry
README
# OpenAgent Registry > The open registry, scanner, and leaderboard for agent-ready websites and services. OpenAgent Registry (**OAR**) does three things in one place: 1. **Scans** any URL for the full stack of agent-access signals - `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. 2. **Scores** each site against a transparent, public rubric and ranks it within its industry category. 3. **Tells you what to do about it** - a concrete approval-path checklist with deep links to the actual developer applications, OAuth signups, partner programs, and standards-adoption steps. *Lead with the checklist; the score is supporting evidence.* **Sources of authoritative scoring credit** (registries / standards bodies): - [Official MCP Registry](https://registry.modelcontextprotocol.io/) - the MCP working group's catalog of MCP servers (+25 if your domain ships one) - Standards: [llms.txt](https://llmstxt.org/), [agents.txt / agents.json](https://agents-txt.com/), [A2A Protocol](https://a2a-protocol.org/), [Web Bot Auth](https://datatracker.ietf.org/doc/draft-meunier-web-bot-auth-architecture/), [RSL](https://rslstandard.org/) **Community resources used for domain discovery only** (no score credit; we use these to know which sites to scan): - [thedaviddias/llms-txt-hub](https://github.com/thedaviddias/llms-txt-hub) - one maintainer's community list of sites publishing `llms.txt` - [Agent Friendly Directory](https://gist.github.com/sklivvz/cc23ace1b277265e9828b6e39f6e9103) - sklivvz's curated agent-usable services - [A2A Registry](https://github.com/prassanna-ravishankar/a2a-registry) - community directory of A2A agents - [LLMTEXT](https://parallel.ai/blog/LLMTEXT-for-llmstxt) - `llms.txt` validation toolkit What OAR adds that none of the above does today: - **Comparative leaderboards by industry category** (rentals, shopping, content, social, developer) - **Approval-path generator** - concrete next steps, not just "you have OAuth" - **Aggregation across the full stack** in one report - **Change monitoring** over time - **A public, free API** so agents (including your own) can query it before calling external services ## Status 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](https://github.com/thedaviddias/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). ## Stack - **Next.js 15** (App Router) + **TypeScript** + **Tailwind CSS** - **No backend service** in v0 - Next.js API routes do the scanning - Local JSON cache for MVP; Postgres or Vercel KV for production scale - Deploys natively to **Vercel** ## Quickstart ```bash pnpm install pnpm dev ``` Then open <http://localhost:3000>. ## How scoring works See [`docs/rubric.md`](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 | ## Categories - **Rentals & Travel** - Airbnb, Booking, Hertz, Avis, Enterprise, Expedia, Vrbo, AutoRentals - **Shopping & Commerce** - Amazon, Shopify, Stripe, Target, Walmart, BestBuy, Etsy - **Content & News** - NYT, WaPo, Bloomberg, Reuters, Substack, Medium - **Social & Community** - Reddit, X, LinkedIn, Bluesky, Mastodon, Discord - **Developer Platforms** - GitHub, Vercel, Cloudflare, npm, AWS, plus 800+ dev tools from the upstream import - **AI & ML Platforms** - Anthropic, OpenAI, and 500+ AI/ML platforms publishing `llms.txt` Within 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]"*. ## Contributing See [`CONTRIBUTING.md`](CONTRIBUTING.md). The three highest-leverage contributions today: 1. **Add services** to `data/seed.json` (a category, a homepage URL, optional notes) - opens a PR; CI runs a scan against it. 2. **Tighten parsers** for the well-known files. The MVP parsers are intentionally conservative - better parsers raise the data quality for everyone. 3. **Approval-path data** - concrete next-step instructions per service (developer signup URL, OAuth scopes needed, partner-program form). This is the killer feature; quality is the moat. ## License [Apache 2.0](LICENSE).