Full-stack dashboard · Next.js 14 + FastAPI · Docker one-command

The AI Agent
Command Center.

Stop building admin panels. The MCP AI Suite Hub gives you a production-ready dashboard to chat with autonomous agents, visualize knowledge in 3D, manage multi-agent teams, control security, and monitor everything — out of the box.

15
Dashboard pages
200+
API endpoints
2500+
Available tools
<60s
Docker setup time

Fifteen pages,
one unified experience

Each page is purpose-built for a specific aspect of AI agent orchestration. The tour below highlights nine; Fleet, Control, Eval, Monitor, Executions and Observatory round out the full set.

💬 Chat

Multi-turn conversations with live streaming. Switch between ReAct, LTP, and hybrid execution modes. See every turn, tool call, and decision in real-time. Human-in-the-loop elicitation when the agent needs guidance.

🤖 Multi-Agent Teams

Spawn specialized sub-agents (research, code, QA, creative). Orchestrate them with 5 patterns: sequential pipelines, parallel execution, supervisor delegation, adversarial debate, or adaptive swarm. Or describe the team in plain English and the conversational architect builds the workflow graph for you. Track each agent's decisions live.

🧠 Knowledge Graph

Upload documents and watch entities and relationships appear in a 3D force-directed graph. Three search modes: basic vector similarity, self-RAG (iterative refinement), and ReAct (planning-based retrieval). Click any node to explore connections.

📊 Observability

Watch agent execution unfold in real-time. Execution graph shows the full tool call chain. SSE audit stream logs every decision. Token usage, cost tracking, and latency metrics per task. Full observability, self-hosted — your traces stay on your box, no per-seat SaaS bill.

Workspace — sandboxed files with auto-checkpointing and audit

📁 Workspace

Full file management with auto-checkpointing before every mutation. DLP scans redact secrets on read. Approval gates block writes to sensitive paths. Restore any checkpoint instantly. Think Git, but for your agent's files.

⏰ Scheduler

Schedule agents to run on cron, intervals, or trigger on conditions. Full execution history with retry logic and exponential backoff. Pause, resume, cancel. Webhook notifications on completion or failure.

⚙️ Settings

30+ configuration options with presets for dev, production, and cloud. Hot-reload LLM provider without restart. Configure every infrastructure backend: Redis, Neo4j, Qdrant, Chroma, SQLite. Per-library fine-tuning.

🛡️ Security & Governance

Egress control: whitelist which domains agents can access. Host access gates: approve or deny system commands. Constitution editor: define safety rules that all agents must follow. Multi-tenant isolation built in.

Deployments — publish an agent or team as a token-authed HTTP endpoint

🚀 Deploy as API

Publish any agent or team as a callable HTTP endpoint. One action turns a workflow into POST /deployments/{id}/run with its own bearer token, a live deploy log, token rotation, and per-deployment run metrics — no extra wiring.

Build it yourself?
Or ship today.

What it takes to replicate the Hub from scratch vs. using it.

❌ Building from scratch

  • 3-6 months of frontend + backend work
  • Design SSE streaming architecture
  • Build multi-agent orchestration UI
  • Implement knowledge graph visualization
  • Write 200+ API endpoints
  • Design security control panels
  • Build observability from scratch
  • Pay a per-seat SaaS for hosted observability

✓ Using the Hub

  • docker-compose up — done in 60 seconds
  • 15 production-ready pages included
  • Real-time streaming built in
  • 3D knowledge graph included
  • Multi-agent patterns with UI
  • Self-hosted observability — free, no per-seat bill
  • Security controls out of the box
  • Open source, extend anything

Running in
60 seconds

1

Clone & launch

Pull the repo and start all services. Docker handles everything — backend, frontend, SearXNG search engine.

git clone https://github.com/gashel01/kernelmcp-demo && cd kernelmcp-demo && docker-compose up --build
2

Open the dashboard

Navigate to the web interface. All 15 pages are ready. No build step, no config, no waiting.

http://localhost:3007
3

Set your LLM key

Go to Settings, pick your provider (Anthropic, OpenAI, Ollama, Groq, Gemini), paste your key. Or use Ollama for free local inference.

Settings → LLM Provider → Paste API key → Done

Built on the full
MCP AI Suite

The Hub is the reference implementation for the entire suite — every library, every tool, one interface.

Frontend
Next.js 14 Tailwind CSS Framer Motion React Flow Force Graph 3D Zustand
Backend
FastAPI KernelMCP LiteLLM SSE Streaming
Infrastructure
Docker Compose SearXNG SQLite / Redis Qdrant / Chroma Neo4j

See the suite
in action

The quickest way to experience the full MCP AI Suite. One command, fifteen pages, zero config.

View on GitHub About kernelmcp