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Connect any MCP server, orchestrate AI agents visually, and run them on LangGraph. Enterprise-grade security, 612+ integrations, no code required.
Integrate with your favorite tools
Automation Studio turns a business task into an executable flow: the agent receives context, calls the right tools, and returns a completed workflow with live execution feedback.
Describe the task once, then let the agent plan the path across your connected systems.
Bring MCP servers, API calls, data sources, messaging, and reports into the same canvas.
Follow each handoff from input to tool activation to completed workflow output.
Compose flows the way you think — pull nodes onto the canvas, wire them up, and the built-in AI fills in the missing steps. Every run is observable, debuggable, and rerunnable from the same place you built it.
A fluid drag-and-drop canvas with first-class undo/redo — your hands always own the graph.
Suggested nodes, smart-fill on edges, and one-click error fixes — accept, edit, or ignore.
Watch every node light up as the workflow runs, with logs streaming in real time.
Type what you want in plain English and watch the workflow take shape — trigger, conditions, transforms, and the right action picked from your connected services. Tune the result, or run it as-is.
One prompt produces a complete, runnable workflow — nodes, edges, branches, and all.
Picks the right service from your connected accounts — Gmail, Slack, GitHub, Notion, and more.
Generated workflows open directly in the visual builder — tweak any step before running.
The AI Agent Console makes the ReAct loop visible: every Thought, Tool Call, and Observation streams as it happens. The agent has access to 33+ connected services — Gmail, Slack, GitHub, Jira, Notion — so a single chat can read your inbox, summarize, and ship a Slack message.
Thought → Action → Observation, displayed inline. No black box.
Service Tool Bridge gives the agent direct access to every app you've connected.
Conversations remember context across sessions via vector search.
Build teams of agents with distinct roles — a Coordinator delegates to Researcher, Engineer, and Writer in parallel, then hands results to a Reviewer for sign-off. Sequential, parallel, and hierarchical patterns, all observable end-to-end.
Define agents by role (Researcher, Coder, Reviewer) with custom prompts and tool sets.
Sequential pipelines, parallel fan-out, and hierarchical delegation — switch with one config.
See which agent is working, what it's thinking, and where the hand-off is right now.
Browse 240+ community Model Context Protocol servers — install GitHub, Slack, Notion, Postgres, Cloudflare, and more with a single click. Each install adds its tool set directly to your workflow canvas. Or build your own MCP server and publish it.
Curated marketplace of MCP servers covering CRMs, dev tools, databases, and more.
Installed servers expose their tools to your agents and workflows immediately.
MCP Builder scaffolds custom servers from a schema. Test, version, and ship to the marketplace.
A real browser under the hood — the AI agent navigates, fills forms, clicks buttons, and captures screenshots on live web pages. Use it for end-to-end checkout tests, scraping behind logins, or running flows on apps that don't have an API.
A full headless browser engine — JavaScript runs, CSS applies, sessions persist.
Every navigate / fill / click is captioned by the agent — replay logs read like a story.
Auto-capture per step. Failures land in your runs view with the exact frame that broke.
Move data between any source and destination — databases, warehouses, SaaS apps, and files — with pre-built nxflow templates. Connect your credentials once and the pipeline handles full historical loads, change-data-capture streams, and one-shot migrations on the same runtime.
Postgres → Snowflake CDC, Salesforce → BigQuery, Stripe → Postgres — pick one and skip the boilerplate.
Source and destination auth flow into the encrypted vault — rotated, audited, never written to logs.
Historical backfill on first run, then continuous low-latency change capture — with row counts, retries, and checkpoints out of the box.
Every workflow runs on infrastructure you can trust: a unified LLM gateway across 6 providers, local NVIDIA GPU inference, sandboxed code execution, and pooled connectors to 5 database engines. Self-hosted or managed.
Ollama, OpenAI, Anthropic, Gemini, Grok, Groq
NVIDIA A100/H100 on-premise inference
Sandboxed JS/TS via isolated-vm
PG, MySQL, MSSQL, SQLite, MongoDB
Every workflow, agent, MCP server, and browser flow you saw above runs on the same nxflow runtime engine. One click ships it to Docker, Kubernetes, AWS, Vercel, Railway, your laptop, the edge — wherever you already operate.
Self-hosted · SOC-ready · Scales to your existing infra
Start building
Describe the goal, connect your tools, and ship your first automation in minutes — on the same runtime that powers everything above.
Free to start · No credit card required · 612+ integrations