Sergej Drus
Founder & CEO, Visaginas360
Vilnius, LithuaniaBuilding a SaaS platform where AI agents manage themselves across cloud infrastructure via MCP protocol, self-heal for 30+ days, and deliver 3.3x faster results.
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The Swarm
MCP Protocol — AI Controls Infrastructure
The breakthrough: Claude AI in the browser controls real cloud infrastructure through MCP (Model Context Protocol). No SSH. No dashboards. Just natural language to the AI, and it manages servers, deploys code, sends emails, scrapes the web, and orchestrates 21 Telegram bots.
"We didn't build an app powered by AI. We built AI that runs the infrastructure — and it hasn't needed a human in 30 days."
6 MCP connectors are live in production. The AI can manage services, read Gmail, deploy to cloud, scrape data, and communicate with users — all autonomously.
Cloud Control
Full VM management, service lifecycle, file operations
Gmail Integration
Search, read, send emails — AI handles communication
Web Scraping
Headless Chrome scraping for real-time data
BigQuery MCP
SQL analytics on AI agent operational data
Firestore MCP
Real-time document database for agent state
Vertex AI Search
Semantic search across knowledge base
// MCP Protocol — How AI manages infrastructure Claude (browser) → MCP Protocol → Cloud Infrastructure │ ┌────────────────────┼────────────────────┐ │ │ │ VM Region 1 VM Region 2 Google Cloud 23 services 12 services BigQuery Task API Gmail MCP Firestore Swarm (21 bots) Web Scraping Vertex AI Memory Graph Telegram Bot Self-healing Cloud Control // 6 MCP connectors • 70+ tools • 30+ days autonomous • Self-healing
Self-Healing Intelligence
deserves deep thought.
Zero manual restarts.
graph with sync.
// How the system handles every situation Event arrives │ ▼ Is this a known pattern? → YES → instant response, no AI cost │ NO ▼ Can watchdog auto-fix? → YES → restart service, log, continue │ NO ▼ Route to AI agent → analyze, fix, cache for next time // Most operations never reach the AI layer. // Intelligence is reserved for tasks that actually need it.
What We Build
Pricing & Plans
From $19/mo for indie hackers to $99/mo for teams. Dedicated VM included. No surprise bills.
A2A Agent SaaS
The core product — AI agents working in parallel on dedicated infrastructure. Google Workspace integration, distributed memory, MCP orchestration.
Telegram Bot Interface
Natural language to agent swarm. Send a task, agents decompose, execute in parallel, deliver results with real Google Docs.
SaaS Demo API
Isolated sandbox API for investors and partners. Architecture overview, agent metrics, real-time health status — all via REST.
Architecture
// A2A Agent SaaS — Multi-Region Swarm Architecture ORCHESTRATOR // Claude MCP + Google A2A Protocol Task → Decompose → Parallel Execute → QA Gate → Synthesize ├── 🔍 Researcher // deep search + citations ├── 💻 Coder // code generation + sandbox ├── ✍️ Writer // content + formatting ├── 📊 Analyst // data + execution ├── 🧠 Thinker // complex reasoning ├── 🎨 Creator // image generation ├── 🌐 Web Search // real-time data └── 🛡️ Guardian // safety filter INFRASTRUCTURE ├── Region 1 // 23 services, primary swarm ├── Region 2 // 12 services, MCP bridge, scraping ├── Google Cloud MCP // BigQuery, Firestore, Vertex AI └── Customer Sandboxes // isolated containers per customer INTEGRATIONS ├── MCP Protocol // 6 connectors, 70+ tools ├── Google Workspace // Docs, Sheets, Slides, Gmail ├── Distributed Memory // cross-region knowledge sync ├── Self-Healing // 7,500+ watchdog cycles └── Telegram Bots // 21 coordinated bots
Journey Highlights
🔌 MCP Protocol — 6 Live Connectors
AI controls cloud infrastructure from the browser. Gmail, BigQuery, Firestore, Vertex AI Search — all connected via MCP. Google Managed MCP servers integrated.
🛡️ 30+ Days Autonomous Operation
Infrastructure runs without human intervention. Watchdog v3 completed 7,500+ monitoring cycles. Zero unplanned downtime.
🤖 Claude-to-Claude Communication
AI in the browser delegates tasks to AI on the server via MCP. Autonomous execution, task queues, cross-instance memory sharing.
🧠 Distributed Memory Swarm
Knowledge graph deployed across regions with cross-VM sync. Agents remember context permanently across sessions.
⚡ 21-Agent Parallel Swarm
Full agent swarm deployed. 3.3x parallel speedup achieved using PARL methodology. 21 coordinated Telegram bots.
📊 Google Workspace Integration
Docs, Sheets, Slides, Gmail, Calendar — all via OAuth. Agents create real artifacts in Google Workspace.
What I Learned
// 90+ days of building. Claude is my CTO. 1. Coordination beats raw power. 21 specialized agents in parallel > 1 premium model serial. 2. Self-healing is non-negotiable. 7,500 watchdog cycles. Zero manual restarts in 30+ days. 3. MCP protocol changes everything. AI managing infrastructure from a browser tab. No SSH, no dashboards. Natural language only. 4. Memory makes agents a team. Agents without memory = colleagues with amnesia. Agents with distributed memory = a growing organization. 5. Ship daily, reflect weekly. 90+ features shipped. Not all perfect, but all shipped. 6. The best AI knows when NOT to think. Speed comes from restraint, not raw compute. Intelligence reserved for tasks that actually need it. // "The best way to predict the future is to build it."
Get In Touch
Let's Connect
Interested in the platform, AI agent collaboration, or investment? Reach out.
Open to collaboration, investment, and partnership conversations.