Is io.github.nveil-ai/nveil safe to use?

io.github.nveil-ai/nveil has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.nveil-ai/nveil?

io.github.nveil-ai/nveil supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with io.github.nveil-ai/nveil?

io.github.nveil-ai/nveil is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio and sse transport.

Is io.github.nveil-ai/nveil actively maintained?

io.github.nveil-ai/nveil is actively maintained — last commit was 1 day ago. It has 2 GitHub stars.

io.github.nveil-ai/nveil

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

ActiveNot tested

Other

★ 2PyPI GitHub

53CNo CVEsactive

Quick Install

{
  "mcpServers": {
    "io-github-nveil-ai-nveil": {
      "args": [
        "nveil"
      ],
      "command": "uvx"
    }
  }
}

Setup guide

Are you the author?

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[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-nveil-ai-nveil)](https://mcppedia.org/s/io-github-nveil-ai-nveil)

Should you use this server?

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

✓

Is it safe?

No known CVEs for nveil.

No authentication — any process on your machine can connect.

License not specified.

✓

Is it maintained?

Last commit 1 days ago. 2 stars.

Will it work with my client?

Transport: stdio, sse. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.

Loading README…

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'nveil' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Help improve this page

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Score Breakdown

MCPpedia Score

Click each category to see evidence

53C

Last scored 15h ago

How we score →

Security

19/30

No known vulnerabilities.

✓

Known CVEs — No known CVEs for nveilcheck OSV.dev

○

Tool safety — No tools to analyze

○

Tool poisoning — No tools to analyze

○

Injection vectors — No tools to analyze

○

Tool stability — First scan — baseline recorded

○

Dependency health — found on deps.dev, recently updated

✗

License — No license specified

○

Authentication — No authentication required

○

Repository — active repo

CVEs checked daily via OSV.dev. Score algorithm is open source.

Reviews

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.nveil-ai/nveil safe to use?: io.github.nveil-ai/nveil has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.nveil-ai/nveil?: io.github.nveil-ai/nveil supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.nveil-ai/nveil?: io.github.nveil-ai/nveil is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio and sse transport.
Is io.github.nveil-ai/nveil actively maintained?: io.github.nveil-ai/nveil is actively maintained — last commit was 1 day ago. It has 2 GitHub stars.

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Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

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 pr

... View full README on GitHub