NVEIL

Name: NVEIL
Author: nveil-ai

by nveil-aiversion 1.3.0i★ –iRuns on your computer

Registry nameio.github.nveil-ai/nveil

Install

Overview

Description from the maker (original English)

Data processing and visualization toolkit — 50+ chart types, raw data stays local.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 13/wk · ★ –

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 on your computer
Transport: stdio
Category: Design, images & audio
You need to fill in: NVEIL_API_KEY

Install

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

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: NVEIL_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "nveil": {
      "command": "uvx",
      "args": [
        "nveil",
        "mcp"
      ],
      "env": {
        "NVEIL_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add nveil --env NVEIL_API_KEY=your-value -- uvx nveil mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "nveil": {
      "command": "uvx",
      "args": [
        "nveil",
        "mcp"
      ],
      "env": {
        "NVEIL_API_KEY": "your-value"
      }
    }
  }
}

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": {
    "nveil": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "nveil",
        "mcp"
      ],
      "env": {
        "NVEIL_API_KEY": "your-value"
      }
    }
  }
}

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Values you fill in

NVEIL_API_KEY secret required env
NVEIL planning service API key. Obtain at https://nveil.com.

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account nveil-ai, which owns the repo
… 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 applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2802 servers in this category
Published to the registry more recently than 6% of the other 2802 servers in this category
Basic checks equal to or better than 100% of the other 2802 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 NVEIL 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?

You need to fill in: NVEIL_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.3.0) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

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:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Figma Context MCP

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

by GLipsWidely used↓ 161.2K/wk★ 16.2KUpdated 5 months ago

Runs on your computer

Install

Claude Real Video

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

by HUANGCHIHHUNGLeoWidely used↓ 1.1K/wk★ 2.3KUpdated 2 months ago

Runs on your computer

Install

Figma MCP Server

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.

by figmaWidely used★ 2.2KUpdated 13 months ago

Runs in the cloud✓ mcp.figma.com

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.

NVEIL Toolkit

Describe your data. Get production charts. Your data stays local.

Quickstart • API Reference • Examples • Changelog

NVEIL is an AI-powered data visualization toolkit. Write one line of natural language, and NVEIL processes your data and generates publication-ready visualizations — no chart code, no hallucinations, no data leaving your machine.

import nveil

nveil.configure(api_key="nveil_...")

Pass a file path directly — no DataFrame loading required.

spec = nveil.generate_spec("Revenue by region, colored by quarter", "sales.csv")

fig = spec.render("sales.csv") # 100% local — no API call nveil.show(fig) # opens in browser

From your shell

After pip install nveil the nveil command is on your $PATH:

export NVEIL_API_KEY=nveil_...

Ground yourself on the dataset (shape / dtypes / head preview)

nveil describe sales.csv

Generate HTML + PNG + a reusable .nveil spec, print the explanation

nveil generate "Revenue by region, colored by quarter" \ --data sales.csv --format all --explain

Re-render an existing spec on fresh data — no API call

nveil render chart.nveil --data new_sales.csv

For AI agents (Claude Code / Claude Desktop / Cursor / Codex / …)

NVEIL ships first-class integrations:

# Claude Code / Claude Desktop — install the bundled skill

nveil install-skill

Claude Desktop, Cursor, any MCP client — add an MCP server:

{"mcpServers": {"nveil": {"command": "nveil", "args": ["mcp"]}}}

nveil mcp # stdio server; launched by the MCP client

Why NVEIL?

Capability	NVEIL	Chatbot data analysis¹	LLM-to-viz libraries²	Traditional plotting³
Natural-language input	✓	✓	✓	✗
Raw data stays on your machine	✓	✗	✗	✓
Only schema + stats sent to server	✓	✗	✗	N/A
Deterministic, reproducible output	✓	✗	✗	✓
Offline re-rendering, zero API calls	✓	✗	✗	✓
Portable saved specs (`.nveil` files)	✓	✗	✗	✗
2D + 3D + geospatial + scientific	✓	2D	2D	varies
Multi-backend (Plotly, VTK, DeckGL)	✓	✗	✗	✗
Data processing engine	✓	✓	partial	✗

¹ ChatGPT Advanced Data Analysis, Claude Analysis tool, Gemini Data Agent · ² PandasAI, LIDA, Julius, Vanna · ³ Plotly, Matplotlib, Seaborn

How It Works

Your Data ──> Toolkit ──metadata only──> NVEIL AI ──> Processing Plan ──> Local Execution ──> Result

^ ^ raw data stays here raw data stays here

You describe what you want in plain language
NVEIL AI plans the data processing and visualization (only metadata is sent — column names, types, statistics)
The Toolkit executes locally — joins, aggregations, pivots, rendering — all on your machine
You get a figure — Plotly, VTK, or DeckGL, auto-selected for your data

Key Features

🧠 Two Engines in One

Data processing (joins, pivots, aggregations, geocoding, time series) AND visualization generation from a single prompt.

🔒 Data Privacy by Design

Raw data never leaves your machine. Only column names, types, and aggregate statistics are sent.

📈 Multi-Backend Rendering

Auto-detects the best engine: Plotly (2D charts), VTK (3D/medical), DeckGL (geospatial).

🧪 Auditable Results

⚡ Offline Rendering

spec.render() runs 100% locally with zero API calls.

💾 Reusable Specs

Save to .nveil files, reload later, render on new data — no server needed.

Beyond Simple Charts

NVEIL handles geospatial heatmaps, 3D volumes, scientific visualizations, medical imaging (DICOM), biosignal data (EDF/EDF+), network graphs, and 50+ other visualization types — all from natural language.

Save Once, Render Forever

# Generate once (API call)

spec = nveil.generate_spec("Monthly trend by category", df) spec.save("trend.nveil")

Reload anywhere — no API call, no server, no cost

spec = nveil.load_spec("trend.nveil") fig = spec.render(fresh_data) nveil.save_image(fig, "report.png")

Installation

pip install nveil

Requirements: Python 3.10+

Getting Started

Create an account at app.nveil.com
Generate an API key in Settings
Start visualizing

import os

import nveil

nveil.configure(api_key=os.environ["NVEIL_API_KEY"])

spec = nveil.generate_spec("scatter plot of price vs area", df) fig = spec.render(df) nveil.show(fig)

See the examples/ directory for more usage patterns.

Documentation

Full documentation is available at [docs.nveil.com](https://docs.nveil.com):

Quickstart Guide
Core Concepts — sessions, specs, and the two-stage flow
API Reference — full reference for all public functions
Privacy Model — what data is sent, what stays local
Examples — bar charts, multi-dataset, offline rendering

Contributing

Contributions are welcome under the project's Contributor License Agreement. Bug reports and feature requests are welcome via GitHub Issues.

License

GNU AGPL v3 or later. See LICENSE. Commercial dual-licensing is available — contact pierre.jacquet@nveil.com.

Website • Documentation • Platform

NVEIL

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

Pass a file path directly — no DataFrame loading required.

From your shell

Ground yourself on the dataset (shape / dtypes / head preview)

Generate HTML + PNG + a reusable .nveil spec, print the explanation

Re-render an existing spec on fresh data — no API call

For AI agents (Claude Code / Claude Desktop / Cursor / Codex / …)

Claude Desktop, Cursor, any MCP client — add an MCP server:

{"mcpServers": {"nveil": {"command": "nveil", "args": ["mcp"]}}}

Why NVEIL?

How It Works

Key Features

🧠 Two Engines in One

🔒 Data Privacy by Design

📈 Multi-Backend Rendering

🧪 Auditable Results

⚡ Offline Rendering

💾 Reusable Specs

Beyond Simple Charts

Save Once, Render Forever

Reload anywhere — no API call, no server, no cost

Installation

Getting Started

Documentation

Contributing

License