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Overview

Jotsu is a powerful yet easy-to-use workflow platform designed to simplify the way you build and manage automated processes. With an intuitive drag-and-drop interface and seamless integration with MCP (Model Context Protocol) servers, Jotsu empowers developers and teams to design event-driven workflows without the usual complexity.

Key Features​

  • Visual Workflow Builder
    Create workflows using a modern drag-and-drop editor — no code required for most operations.

  • MCP Integration
    Connect directly to MCP servers to run AI models, execute tasks, and manage context-aware automation.

  • Automatic Authentication
    Jotsu handles all authentication with MCP servers under the hood. You never need to manually manage tokens, sessions, or API keys.

  • Event-Driven Execution
    Workflows in Jotsu are triggered by events. These can come from internal sources, external APIs, or user-defined triggers.

  • Scalable and Modular
    Jotsu is designed to grow with your needs. Build simple workflows or connect multiple services and AI models in complex pipelines.

What Can You Build with Jotsu?​

  • AI-powered chatbots that respond based on real-time context

  • Document processing pipelines that classify, summarize, and store content

  • Event-driven decision engines for dynamic applications

  • Automation workflows across systems with minimal glue code

Why Jotsu?​

Jotsu bridges the gap between low-code simplicity and high-power extensibility. It abstracts away repetitive boilerplate while still giving you full control when needed. With its deep MCP support, Jotsu is ideal for anyone building intelligent, context-aware systems.

Unlike many closed and proprietary workflow platforms, Jotsu is powered by an open-source workflow engine. This means:

  • You can author workflows in Jotsu’s visual editor and run them anywhere — locally, on your own servers, or in the cloud.
  • You're never locked into a single vendor or ecosystem.
  • You can inspect, audit, and customize the underlying execution engine to meet your specific needs.
  • You retain full control over your data, execution logic, and infrastructure.

This open foundation gives you the flexibility and confidence to scale workflows across environments without losing portability or freedom.

How it works.​

TL;DR: In Jotsu, everything is a workflow — a series of actions taken to accomplish some task.

Workflows operate on a given dataset using dependency injection. . If you’re familiar with Python frameworks like FastAPI or Sanic, the concept will feel familiar. If not, it simply means that data is added to a shared collection as needed, and the resulting values carry semantic meaning. No two distinct records (technically, data items or datum) share the same name.

This collection of data is represented as a single JSON object, which subsequent nodes operate on. An action—the result of running a node—takes the JSON object and outputs a transformed version of it.

Since a workflow can have multiple paths of execution, there is no single “result” for the workflow overall, other than whether it encountered an error. Instead, workflows can designate target nodes that receive data at specific points during execution.