Flow Like, developed by Tm9657 (now Rheosoph), is an MCP server tool built primarily with Rust. It provides a visual, local-first platform for constructing typed workflows, AI agents, integrations, automations, and data-driven applications. Operating across local, cloud, and hybrid environments, Flow Like unifies data, automation, AI, and application layers into a single, high-performance runtime. It connects to AI clients via the Model Context Protocol, offering a no-code builder while supporting custom node development in 15 languages, including Rust, TypeScript, and Python. Programmatic control is available through TypeScript and Python SDKs, and REST APIs.

What does Flow Like connect to?

Flow Like integrates with various AI clients and systems through the Model Context Protocol (MCP). It supports the stdio transport protocol for connecting with AI assistants and is compatible with tools like Claude. Programmatic control is available via TypeScript and Python SDKs, and REST APIs. The platform exposes its created workflows as callable tools for AI clients. It also supports connections to APIs, webhooks, databases, file processors, AI models, computer vision, messaging platforms like Slack and Discord, IoT devices, and security systems.

Core features and tools

Flow Like offers a visual platform for building diverse applications. Its Node Catalog enables workflow construction with capabilities such as APIs & webhooks, databases, file processing (Excel, CSV, PDF), AI models & computer vision, messaging (Slack, Discord, email), IoT, logic & control flow, and security & authentication. Specific flow components include Discord Message Event, LLM (ChatGPT), Discord Reply, and Log to Database. It also features a Frontend Builder for visual experiences and a Data Studio for ontology creation and operational data connection.

Who is it for?

Flow Like targets developers and operators seeking a visual automation builder that maintains local execution and MCP-level inspection. It is designed for technical and enterprise environments requiring visual workflows, agentic AI, secure integrations, data processing, governance, and scalable execution across various infrastructures. This platform supports unifying data, automation, AI, and applications within a single runtime. Skip this if your environment does not require local execution or MCP-level inspection.

How to get started

Programmatic access occurs through Personal Access Tokens (PATs) and JWT (JSON Web Tokens) for authentication and authorization. The stdio transport protocol is supported for AI assistant integration.

Use cases

• Building end-to-end use cases that unify data, automation, AI, and applications within a single runtime.
• Automating business processes, integrations, data flows, and operational tasks.
• Creating AI agents capable of utilizing tools, processing data, interacting with business systems, and managing complex workflows.

Flow Like provides a versatile platform for visual workflow automation and AI agent creation, uniting data, AI, and applications. Its support for various languages for custom nodes and multiple deployment methods makes it adaptable for demanding environments. Authentication via PATs and JWTs secures programmatic interactions. The platform's ability to expose flows as callable AI tools enhances AI client capabilities. Start by exploring the Node Catalog to build a workflow, such as connecting a Discord Message Event to an LLM.