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

★ 3

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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

Frequently Asked Questions

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 27 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.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

✓

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

✓

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

✓

Complete complex tasks end-to-end without manual steps

Discussion

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Ratings

4.5★★★★★27 reviews

★★★★★Isabella Mehta· Dec 16, 2024
Flux (AO & Arweave) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
★★★★★Advait Lopez· Dec 12, 2024
We evaluated Flux (AO & Arweave) against two servers with overlapping tools; this profile had the clearer scope statement.
★★★★★Dhruvi Jain· Dec 4, 2024
We evaluated Flux (AO & Arweave) against two servers with overlapping tools; this profile had the clearer scope statement.
★★★★★Oshnikdeep· Nov 23, 2024
Useful MCP listing: Flux (AO & Arweave) is the kind of server we cite when onboarding engineers to host + tool permissions.
★★★★★Lucas Abebe· Nov 7, 2024
Flux (AO & Arweave) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
★★★★★Camila Li· Nov 3, 2024
Useful MCP listing: Flux (AO & Arweave) is the kind of server we cite when onboarding engineers to host + tool permissions.
★★★★★Li Reddy· Oct 26, 2024
Useful MCP listing: Flux (AO & Arweave) is the kind of server we cite when onboarding engineers to host + tool permissions.
★★★★★Aditi Ramirez· Oct 22, 2024
Flux (AO & Arweave) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
★★★★★Ganesh Mohane· Oct 14, 2024
Flux (AO & Arweave) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
★★★★★Jin Li· Sep 17, 2024
According to our notes, Flux (AO & Arweave) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

showing 1-10 of 27

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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

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 -

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)!

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)!

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.

Flux (AO & Arweave)

What it does

How to install

License

Readme

Frequently Asked Questions

Use Cases

Extended AI Capabilities

Context Enhancement

Workflow Automation

Discussion

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