developer-tools

Flux (AO & Arweave)

by asrvd

Flux (AO & Arweave) lets developers easily run, create, and test AO code using natural language—no deep technical skills

Integrates with Arweave and AO ecosystems to enable developers to run, create, and test AO code and blueprints using natural language commands without requiring deep technical knowledge of the underlying systems.

github stars

3

Natural language to AO code generationWorks with Cursor, Claude, and other MCP-compatible toolsBuilt-in testing for generated code

best for

  • / Developers building on Arweave/AO ecosystem
  • / Teams wanting to prototype AO applications quickly
  • / Learning AO development without syntax complexity

capabilities

  • / Run AO code with natural language commands
  • / Create custom AO blueprints using plain English
  • / Test AO processes and handlers automatically
  • / Generate complex AO handlers from descriptions
  • / Integrate with existing AI development tools

what it does

Enables developers to run, create, and test AO (Arweave's compute layer) code using natural language commands without needing deep technical knowledge of the underlying systems.

how to install

You can install Flux (AO & Arweave) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Flux (AO & Arweave) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Flux

AI based AO tool calling on steroids that integrates with your existing tools and editor using a MCP server.

https://github.com/user-attachments/assets/3484e2db-e7cb-479a-84a2-0b399e1149ac

Features Implemented

  • Run AO code using just natural language
  • Create and run custom AO code/blueprints completely using natural language
  • Integrates with your existing AI dev tools like Cursor, Windsurf, Claude, and anything that supports MCP tool calling
  • Can test out all the code it pushes to an process
  • Can create and test complex handlers

Features to be implemented

  • Inetgration with AO ecosystem tools
  • Better code generation capabilities by adding more context about AO

Tech stack

  • AO
  • Arweave
  • MCP typescript sdk
  • Typescript
  • Node.js

Installation

There are currently two ways to install and use Flux, right now it has been tested significantly only on Cursor so we will be showing how to install FLux in Cursor -

  1. Local Setup - For users who want everything to be present locally, no remote servers involved

    • Make sure you have latest stable version of NODE.js installed - Node.js download
    • Open Cursor and go to Settings > Cursor Settings > MCP > Add new MCP tool
    • Paste this code in the file
      "mcpServers": {
          "flux": {
              "command": "npx",
              "args": ["-y", "flux-ao@latest"],
          }
      }
      
    • if you did everything correctly you will be able to see the flux MCP loaded with all the tools, and its ready to be used in Cursor (PS: You might have to reload the MCP multiple times or restart Cursor)! Flux MCP loaded in Cursor
  2. Remote Setup - For users who want to use Flux without installing anything locally

    • Open Cursor and go to Settings > Cursor Settings > MCP > Add new MCP tool
    • Paste this code in the file
      "mcpServers": {
          "flux": {
              "url": "https://flux-2esw.onrender.com/sse",
          }
      }
      
    • if you did everything correctly you will be able to see the flux MCP loaded with all the tools, and its ready to be used in Cursor (PS: You might have to reload the MCP multiple times or restart Cursor)! Flux MCP loaded in Cursor

Usage

We would suggest you add the llms.txt for AO docs in cursor first and use it as a context before you start using the MCP server. If you don't know how to do it, checkoout this documentation on how to add docs to cursor.

The more context you give to cursor, the more acurate the responses will be.

Now add these custom rules in your Cursor project to make sure Cursor doesn't hallucinate or give wrong responses. You can add these rules in the Settings > Cursor Settings > Rules > Add new rule.

For adding json capabilities ONLY IF NEEDED, you need to add a line "local json = require("json")" on top of file. BUT DONT USE IT UNLESS NEEDED. SIMPLE THINGS CAN BE DONE USING AO PROCESS STATE

Always use Send instead of msg.reply

Always make sure a handler is sending out a response/reply (using Send) and send it as data as well instaed of just returning using tags

Never add any tags by yourself, always add tags when needed or instructed by user, also {"Action":"Eval"} tag is for running lua in an ao process and {"Action" : "action_name"} is for running a handler

Never add the "Type" tag to anything, thats reserved for internal ao specifications

Always use Handler.utils whever possible when creating a handler, for example --
    Handlers.add(
        "pingpong",
        Handlers.utils.hasMatchingTag("Action", "Ping"),
        function (msg) 
            Handlers.utils.reply("Pong")(msg) -- or use Send() here
        end
    )

Now you can start using the Flux MCP server in Cursor Agents.

Support

If you find any issues with the Server or encounter any bugs, please let us know by opening an issue or mailing us @ flux.mcp@gmail.com

FAQ

What is the Flux (AO & Arweave) MCP server?
Flux (AO & Arweave) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Flux (AO & Arweave)?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Flux (AO & Arweave) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Flux (AO & Arweave) against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Flux (AO & Arweave) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Flux (AO & Arweave) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Flux (AO & Arweave) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Flux (AO & Arweave) surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Flux (AO & Arweave) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Flux (AO & Arweave) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Flux (AO & Arweave) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Flux (AO & Arweave) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.