NVEIL runs on your own machine — the client starts it, so there is no endpoint to ping. 55 installs a week from pypi. Last commit 5 Jun 2026.
Data processing and visualization toolkit — 50+ chart types, raw data stays local.
We read the source, 1 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
subprocess.run(
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add nveil -e 'NVEIL_API_KEY=<NVEIL_API_KEY>' -- uvx nveil
{
"mcpServers": {
"nveil": {
"command": "uvx",
"args": [
"nveil"
],
"env": {
"NVEIL_API_KEY": "<NVEIL_API_KEY>"
}
}
}
}
[mcp_servers.nveil]
command = "uvx"
args = ["nveil"]
env = { NVEIL_API_KEY = "<NVEIL_API_KEY>" }
{
"mcpServers": {
"nveil": {
"command": "uvx",
"args": [
"nveil"
],
"env": {
"NVEIL_API_KEY": "<NVEIL_API_KEY>"
}
}
}
}
{
"servers": {
"nveil": {
"type": "stdio",
"command": "uvx",
"args": [
"nveil"
],
"env": {
"NVEIL_API_KEY": "<NVEIL_API_KEY>"
}
}
}
}
Put your own value in place of
<NVEIL_API_KEY> (NVEIL planning service API key. Obtain at https://nveil.com).
The author’s registry entry marks it as required.
Read, filter and edit spreadsheet data - xlsx and csv - from your AI chat. Local processing.
MCP server for data visualization with Mermaid charts.
MCP server for data visualization with Mermaid charts.
Data processing tools: CSV, cleaning, stats, image, report, save, shell
Score your specs before feeding them to an LLM. MCP server with radar chart visualization.
Create interactive visualizations and query data sources (SQLite, CSV, Parquet, JSON)
Create, inspect, manage, and render charts and data visualizations as SVG/PNG or interactive embeds.
Open, inspect, filter, edit and convert xlsx and csv files from your AI chat. Processing is local.
Answers built from our own checks of this server.