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Case study

Fleet Management (Frappe + MCP)

A Frappe fleet system with a custom MCP layer, so vehicle and trip status can be asked for in plain language inside Claude or ChatGPT.

  • Frappe
  • Python
  • MCP
  • Claude
  • ChatGPT

The Challenge

Fleet data lived inside the application, so routine questions — how many vehicles are currently in service, which vehicle is on which trip — meant opening the system and reading a report every time.

The Solution

A Frappe application holding vehicles, trips and service state, paired with a custom MCP server that exposes that data as scoped tools. An assistant like Claude or ChatGPT can then answer fleet questions directly in chat, reading live records rather than a stale export.

The Technology

Frappe and Python for the fleet data model, with a Model Context Protocol server bridging it to MCP-capable AI clients.

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