mcpbeat

Engineer Your Data MCP Server

io.github.eghuzefa/engineer-your-data
local only

Engineer Your Data runs on your own machine — the client starts it, so there is no endpoint to ping. 83 installs a week from pypi.

MCP server for data engineering: validation, transformation, visualization, and APIs.

Installs per day peak 52 · avg 17 · -27% w/w
a month agotoday
83
Installs / week
pypi · engineer-your-data
Stars
on GitHub
Last commit
0 releases in 90 days
License
language unknown

Connect this server

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.

run in your terminal
claude mcp add engineer-your-data -- uvx engineer-your-data
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "engineer-your-data": {
      "args": [
        "engineer-your-data"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.engineer-your-data]
command = "uvx"
args = ["engineer-your-data"]
.cursor/mcp.json
{
  "mcpServers": {
    "engineer-your-data": {
      "args": [
        "engineer-your-data"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "engineer-your-data": {
      "args": [
        "engineer-your-data"
      ],
      "command": "uvx"
    }
  }
}

Engineer Your Data — questions

Answers built from our own checks of this server.

Why is there no uptime for Engineer Your Data?
Engineer Your Data runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package engineer-your-data was installed 83 times last week.
How do I connect Engineer Your Data?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls engineer-your-data straight from pypi; nothing to host, nothing to sign up for.
How many people use Engineer Your Data?
The pypi package engineer-your-data was installed 83 times in the last week. Week over week that is -27%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.