Flux

Flux is a purpose‑built Model Context Protocol (MCP) server that elevates the way developers interact with AO (Automated Operations) code. By exposing a rich set of MCP tools, Flux lets AI assistants such as Claude or Cursor translate natural‑language instructions directly into AO blueprints, handlers, and runtime processes. This eliminates the need for manual scripting or boilerplate code, allowing teams to prototype complex workflows in minutes rather than hours.

At its core, Flux solves the friction that often arises when integrating AI with existing development toolchains. Traditional approaches require developers to manually copy code snippets, manage dependencies, and run tests in separate environments. Flux bundles these steps into a single MCP interface: an assistant can ask the server to “create a new AO handler that logs user activity,” and Flux will generate, compile, and execute the code on‑the‑fly. The server also provides a testing harness that automatically runs any generated AO code, giving instant feedback and ensuring correctness before deployment.

Key capabilities include:

• Natural‑language AO code generation – generate complete AO blueprints, handlers, and scripts from plain English prompts.
• Seamless integration with popular AI dev tools – works natively with Cursor, Windsurf, Claude, and any MCP‑compatible client.
• Live testing and execution – every code snippet pushed to the AO process is immediately executed, enabling rapid iteration.
• Complex handler support – build multi‑step handlers that can respond to events, manipulate state, and invoke other services.
• Extensible ecosystem – built on AO, Arweave, and the MCP TypeScript SDK, making it easy to add new features or connect to other AO‑based services.

Real‑world scenarios where Flux shines include automated data pipelines, real‑time event processing, and chatbot backend logic. For example, a team building an e‑commerce recommendation engine can ask Flux to “create a handler that updates product scores whenever a review is posted,” and the server will generate, test, and deploy the logic without any manual coding. Similarly, a customer support platform can use Flux to generate AO handlers that route tickets based on sentiment analysis, all driven by conversational AI.

Because Flux is a true MCP server, it plugs directly into any existing AI workflow. Developers can add the endpoint to their MCP configuration, then invoke its tools from within a prompt or script. The server’s design encourages best practices—such as using for replies and avoiding unnecessary tags—ensuring that generated code is clean, maintainable, and aligned with AO’s standards. This tight coupling between natural language, code generation, and execution makes Flux a standout solution for teams that want to harness AI to accelerate development while keeping control over the underlying logic.