Engineer Your Data
engineer-your-data is a MCP server that supports agent-driven data validation, transformation, visualization, and API workflows.
About
engineer-your-data is a Model Context Protocol server aimed at developers and small teams who need agent-assisted data engineering during product development. Instead of switching between notebooks, ad-hoc Python files, and a separate visualization stack, you register this PyPI stdio MCP so Claude Code or Cursor can help validate datasets, apply transformations, produce visual views, and work against data-oriented APIs in one flow. The manifest positions it broadly across validation through visualization; treat it as scaffolding for iterative data work rather than a managed warehouse. Pair it with your own storage and deploy targets—you still own credentials, schedules, and production hardening in ship and operate phases.
- MCP surface for data engineering: validation, transformation, visualization, and APIs
- PyPI stdio package engineer-your-data (v0.1.3)
- Lets agents iterate on datasets and pipeline logic inside the coding session
- Bridges analytics prototypes and production-shaped data steps for indie products
- Suited to builders shipping dashboards, ETL, or API-backed metrics without a separate BI-only toolchain
Engineer Your Data by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
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| Package | engineer-your-data |
|---|---|
| Transport | STDIO |
| Auth | None |
What it does
Expose validation, transforms, charts, and data APIs to your agent while you build pipelines and backend data features without juggling one-off scripts.
Who is it for?
Best when you're adding analytics pipelines, cleaned datasets, or chart prototypes to a backend you are already coding with an MCP agent.
Skip if: Enterprises needing governed lakehouse ops, certified compliance pipelines, or full managed ETL with SLAs—this is an agent bridge, not a cloud data platform.
What you get
After registration, your agent can orchestrate common data engineering steps through MCP instead of fragmenting work across disconnected tools.
- MCP-accessible data validation and transformation workflows
- Visualization-oriented outputs for iteration during build
- Closer integration between agent-assisted code and data API work
By the numbers
- Server version 0.1.3 on PyPI
- Documented scope: validation, transformation, visualization, and APIs
- Transport: stdio via engineer-your-data package
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FAQ
Who is engineer-your-data for?
Developers and small teams using MCP agents to build data validation, transformation, visualization, and API-related backend features.
When should I use engineer-your-data?
Use it during build when you are shaping pipelines, cleaning datasets, or exposing analytics endpoints and want the agent to call structured data tools.
How do I add engineer-your-data to my agent?
Install the PyPI package engineer-your-data, configure stdio MCP in your agent, ensure Python runtime is available, then invoke the server’s data engineering tools from your session.