Server data from the Official MCP Registry
Search 367k+ verified businesses; earn cashback when an agent routes a real purchase.
Search 367k+ verified businesses; earn cashback when an agent routes a real purchase.
Remote endpoints: streamable-http: https://ai-visionary.xyz/agents/mcp
This is a Next.js-based MCP server for the AYA business registry platform. The codebase demonstrates reasonable security practices with appropriate use of authentication libraries and API frameworks, but has some notable concerns: broad dependency scope including web scraping tools (Puppeteer, Playwright, Chromium), email delivery capabilities (Nodemailer), and database access (pg, Firebase, Supabase) without clear per-operation authorization boundaries. The keyword dictionary file, while large and benign, indicates data processing at scale. No critical vulnerabilities or malicious patterns detected, but permission scope warrants user awareness. Supply chain analysis found 25 known vulnerabilities in dependencies (0 critical, 7 high severity).
4 files analyzed · 30 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.
AYA gives businesses sovereign control over how AI assistants see and recommend them — without depending on Google, OpenAI, or any single platform.
When someone asks ChatGPT, Claude, Gemini or any AI "find me a cybersecurity consultant in Switzerland", the AI needs structured, verified data to answer. Today, that data is controlled by a handful of tech giants who decide who gets recommended.
AYA is the independent alternative. A structured registry accessible to ALL AIs — not just those from Google or OpenAI.
AYA doesn't connect to a single AI — every AI finds AYA naturally. Business data is published across multiple convergent sources, ensuring that all AI assistants — regardless of their provider — can access and recommend verified businesses:
| Source | What | URL |
|---|---|---|
| API LLM-Friendly | 5-field JSON per entity, optimized for AI consumption | ai-visionary.xyz/api/aya/llm/{domain} |
| Crawlable HTML | 4,400+ certificate pages with JSON-LD structured data | ai-visionary.xyz/aya/e/{id} |
| GitHub Dataset | One JSON file per entity (CC-BY-4.0) | NeousAxis/aya-business-dataset |
| HuggingFace Dataset | CSV + JSONL, ML-ready (CC-BY-4.0) | NeousAxis/aya-business-dataset |
When an AI sees the same data across API + HTML + GitHub + HuggingFace → it considers it stable and reliable → it uses it.
| Locked-in model | AYA model |
|---|---|
| Your visibility depends on one AI provider | Your data is accessible to ALL AIs |
| Platform changes → you disappear | Structured data is permanent and portable |
| You pay to be listed on each platform | You own your data, AYA distributes it everywhere |
| One algorithm decides your ranking | Multiple independent sources confirm your identity |
| Entities indexed | 4,400+ (growing toward 100,000) |
| Countries | 73+ |
| Certified (ASR) | 4 |
| API | Free, no auth, 30 req/min |
| Bilingual | FR + EN |
Search: GET /api/aya/search?q=restaurant+geneve
Entity: GET /api/aya/entity/{domain}
LLM: GET /api/aya/llm/{domain}?lang=en|fr
Stats: GET /api/aya/stats
Registry: GET /api/aya/live
No authentication. No API key. Just call the endpoint.
{
"name": "Chainlink",
"what_it_does": "Blockchain infrastructure connecting external data to smart contracts.",
"for_who": "Web3 developers and blockchain protocols.",
"category": "Web3 / Oracle",
"location": "Global"
}
Your business already exists online — but can AI assistants find and recommend it?
The result: when someone asks any AI about your industry, your city, your services — you show up. Independently of which AI they use.
Built in Geneva, Switzerland by AI Visionary | 2026
AYA is a platform by AI Visionary. The business dataset is published under CC-BY-4.0 to enable systemic attraction.
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