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PopNx MCPMCP servers for people who use AI · explained in plain words

FLORA

by florafauna-aiversion 0.11.5i★ –iRuns in the cloud
Registry nameai.flora/flora

Install

Overview

Description from the maker (original English)

Generate and edit images, video, audio, text and 3D on FLORA's AI creative canvas.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://agents.flora.ai/mcp

Run this in your terminal

claude mcp add --transport http flora https://agents.flora.ai/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "flora": {
      "url": "https://agents.flora.ai/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "flora": {
      "type": "http",
      "url": "https://agents.flora.ai/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://agents.flora.ai/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain flora.ai (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2164 servers in this category
  • Published to the registry more recently than 60% of the other 2164 servers in this category
  • Basic checks equal to or better than 100% of the other 2164 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is FLORA safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.11.5) reached the registry 20 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago
Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago
Install

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

FLORA MCP Skills

Workflows for pointing your agent at FLORA and getting real work back — not just tool access.

FLORA's MCP server gives any agent the ability to generate images, video, audio and text, run saved multi-step techniques, and read and write a FLORA canvas. That is the raw capability. This repo is the judgment layer: when to use which model, what the gotchas are, what a good result looks like, and what to do when one comes back wrong.

Skills document tested workflows and measured observations. Model behavior and tool availability can change; check the connected server before following an example.

FLORA maintains these skills and publishes updates here through reviewed pull requests.


Install

One command. FLORA's MCP server is hosted, authenticated over OAuth, and needs no API key — the first call opens a browser to sign in.

Claude Code

claude mcp add --transport http flora https://agents.flora.ai/mcp

Codex

codex mcp add flora --transport http https://agents.flora.ai/mcp

Cursor, Windsurf, Zed, and other MCP clients — add to your MCP config:

{

"mcpServers": { "flora": { "type": "http", "url": "https://agents.flora.ai/mcp" } } }

Claude.ai (web and desktop) — add it as a custom connector:

  1. Copy https://agents.flora.ai/mcp
  2. Go to Settings → Connectors → Add custom connector (direct link)
  3. Paste, sign in, and start generating

ChatGPT — FLORA is in the app directory; enable it there.

Then add the skills

The server is the capability; the skills are how your agent knows what to do with it.

Claude Code — one command, skills and server together. This repo is also a plugin marketplace, so installing it wires up the MCP server _and_ every skill:

claude plugin marketplace add florafauna-ai/flora-mcp-skills

claude plugin install flora-mcp-skills@flora

Any other agent — copy the skills in:

git clone https://github.com/florafauna-ai/flora-mcp-skills.git

cp -r flora-mcp-skills/skills/* .codex/skills/ # Codex cp -r flora-mcp-skills/skills/* .cursor/rules/ # Cursor

Claude.ai — there is no plugin install, so pick one of three. claude plugin is Claude Code only; on web and desktop the skills go in by hand.

_A Project, if you use FLORA regularly._ Create a Project, open Set custom instructions, and paste in the contents of the skill you want — for example skills/flora-batch-generate/SKILL.md. Every chat inside that Project then has it, with nothing to re-paste. This is the most reliable option and it costs nothing.

_Upload it as a Skill, for something reusable across Projects._ Claude.ai takes a zipped skill folder, and this repo's layout is already the right shape — one directory per skill with a SKILL.md inside it. Zip the one you want:

git clone https://github.com/florafauna-ai/flora-mcp-skills.git

cd flora-mcp-skills/skills && zip -r flora-batch-generate.zip flora-batch-generate

Then upload it from Claude's settings, under skills/capabilities. Zipping from the repo rather than downloading a prebuilt archive means you always get the current version.

_Or just ask for it inline_ — see the raw-URL option below, which needs no setup at all and works in a normal chat.

Or no install at all — point your agent straight at one skill:

Read https://raw.githubusercontent.com/florafauna-ai/flora-mcp-skills/main/skills/flora-batch-generate/SKILL.md

and follow it for these 5 products:

PO-01 a matte black ceramic pour-over coffee dripper WB-04 a brushed steel insulated water bottle AP-09 a folded oatmeal linen apron CB-02 a walnut wood cutting board, rectangular SB-03 a stack of three speckled stoneware bowls

One consistent studio style across all five: seamless warm-grey backdrop, soft softbox from camera left, subtle contact shadow, 85mm, centred, no props.

Keeping the skills up to date

New skills get added to this repo, and existing ones get corrected as we measure things that turn out to be wrong. None of that reaches you on its own. An installed plugin is a frozen snapshot — it will not tell you a new skill exists, and it will keep working happily on an old copy. Updating is something you do, not something that happens.

Claude Code — two commands, no reinstall and no re-auth. Your MCP connection is untouched:

claude plugin marketplace update flora

claude plugin update flora-mcp-skills

The first refreshes this repo's marketplace listing; the second pulls the new version. Skipping the first means the second has nothing new to find. Changes apply on your next session — plugins load at start-up, so restart your agent afterwards.

If it reports already at the latest version, you are genuinely current. claude plugin list shows the version you are on.

Any other agent — re-copy. There is no update command, so pull the repo again and overwrite:

cd flora-mcp-skills && git pull

cp -r skills/* .codex/skills/ # Codex cp -r skills/* .cursor/rules/ # Cursor

Claude.ai — re-paste or re-zip. A Project's custom instructions and an uploaded Skill are both snapshots taken when you added them. Paste the current SKILL.md in again, or re-zip the folder from a freshly pulled clone and re-upload.

Raw URL — nothing to do. That path always serves main, so it is current the moment we push. If you want to be sure you are reading today's version of a skill, use it.


Start here: stop chatting, start batching

The single highest-leverage thing you can do with FLORA's MCP server is stop treating it as a chatbot and start treating it as a pipeline.

One request at a time, waiting for each, is the default an agent falls into and it is the slowest possible use of the server. FLORA runs generations concurrently. The serialisation is entirely on the agent's side.

Measured on a real six-item batch: fired together, 15.8 seconds. The same six run one after another: about 150 seconds. Identical cost, identical outputs, one tenth the wall clock — and the gap widens linearly with the size of your list.

**flora-batch-generate is the flagship skill

in this repo.** If you read one thing here, read that. It turns a product list, a set

of campaign variants, a folder of source images, or a spreadsheet into one parallel

batch, polls it correctly, and tells you exactly what failed and why.


Skills by use case

Scale — many items, one treatment
SkillUse it when
[flora-batch-generate](skills/flora-batch-generate/SKILL.md) ★You have a list — products, SKUs, campaign variants, localisations, scenes — and want one asset per row under a single consistent style. Handles parallel firing, batch polling, per-item variables, partial failure and retry classification. Start here.
Refine — get one thing right, without burning money
SkillUse it when
[flora-refine-loop](skills/flora-refine-loop/SKILL.md) ★The first result is wrong and you need to drive it to a specific goal — "that's not quite right", "closer, but the X is off". Uses a free vision judge to name the defect, changes the prompt to fix it, and stops when the goal is met or the defect stops moving. Reach for this the moment someone is re-running the same prompt hoping for a better roll.
Composite — animate what already exists
SkillUse it when
[flora-motion-compositor](skills/flora-motion-compositor/SKILL.md)The subject already exists — a UI screenshot, a logo, a product photo, a Figma export — and you need real motion-graphics shots of it: 3D-tilted screens, staggered type reveals, camera moves, grade. Nothing is generated; every pixel comes from a file or a font, so type is pin-sharp, spelling is correct, and two renders of a scene are byte-identical. Renders from a JSON scene graph at $0 and ~12s a shot, which makes re-rendering a whole film after a design change free.
Sequence — script to moving pictures
SkillUse it when
[flora-script-to-video](skills/flora-script-to-video/SKILL.md)You have a script or narrative and want animated clips. Staged pipeline with approval gates — script → shot list → consistent keyframes → motion — because a clip costs 30–90x its keyframe, so a drifted still must be caught before it is animated. Delivers ordered clip URLs, not a finished cut.
Transform — you already have the image

| Skill

Only the beginning is shown; read the rest in the repo

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