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Linear Regression Mcp

🟑Caution
Data & Storage

Train a Linear Regression model by uploading a CSV dataset file, demonstrating an end-to-end machine learning workflow.

STEP 1

Understand what it does

Tell your agent things like:

β†’β€œuse linear regression mcp”
β†’β€œquery database”
β†’β€œstore data”
β†’β€œmanage records”
PERMISSIONS

What this capability can access

This capability requires the following permissions:

This capability can modify data or communicate externally. Review the permissions below before granting access.

πŸ”‘
Requires API Keys
Needs authentication credentials
πŸ“–
Read Files
Reads local files and directories
✏️
Write/Delete Files
Creates, modifies, or deletes files
STEP 2

Set it up

Available on 1 platform. Pick yours:

MCP (Model Context Protocol)Docs

Add to your MCP client configuration:

{
  "mcpServers": {
    "linear-regression-mcp": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-linear-regression-mcp"]
    }
  }
}
STEP 3

Go deeper

Full documentation and source code

Add to your README

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