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lubelog_mcp

MCP Server for LubeLogger

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README

From the repo.

MCP Server for LubeLogger

image

This is a technical tool mainly for experimentation and exploration into AI-enabled features in LubeLogger.

AI and MCP are still evolving technologies, implementations of this project is subject to break without prior notice.

Pre-requisites

  • AI agent with ability to call tools/external integrations(i.e.: Claude Desktop)
  • Node.js(for npx)

Getting Started

This MCP Server allows for authentication to be configured at the AI-Agent level(Header Auth) or at the MCP Server level(Local Auth).

Header Auth is more complex to set up but offers greater security, whereas Local Auth is easier to set up but allows users unfettered access to all vehicles in the instance.

For details on both configurations, see Wiki

Commands Supported

  • Retrieve list of vehicles
  • Add Vehicle from VIN
  • Add Fuel Record from image of receipt
  • Add Service/Repair/Upgrade records from invoice
  • Add Odometer record from image of dashboard
  • Add Supply(or shop supply) record from image of invoice
  • Get latest odometer reading from vehicle
  • Check status of LubeLogger instance

Example Usage

image image image

Collected info

  • 21 stars
  • 3 forks
  • Language: C#
  • Source updated: 7/28/2026

Config for your environment

Replace {MCP_ENDPOINT_URL} with this MCP’s endpoint URL (from its repo or docs above). No API key — you connect directly.

Tool

OS

Config file: ~/.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "{MCP_ENDPOINT_URL}"
    }
  }
}

Paste into mcpServers in the config file. Restart Cursor after saving.

If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.