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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
What it takes to replicate the Hub from scratch vs. using it.
docker-compose up — done in 60 secondsPull the repo and start all services. Docker handles everything — backend, frontend, SearXNG search engine.
Navigate to the web interface. All 15 pages are ready. No build step, no config, no waiting.
Go to Settings, pick your provider (Anthropic, OpenAI, Ollama, Groq, Gemini), paste your key. Or use Ollama for free local inference.
The Hub is the reference implementation for the entire suite — every library, every tool, one interface.
The quickest way to experience the full MCP AI Suite. One command, fifteen pages, zero config.