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terry-xiaoyu/sdv_mcp_demo

Analysis updated 2026-07-18 · repo last pushed 2025-05-15

Audience · developerComplexity · 3/5StaleSetup · moderate

TLDR

Demo tool that turns raw driving data into AI-written insurance risk reports by combining GPS, weather, and driving-event data with an AI model.

Mindmap

mindmap
  root((sdv_mcp_demo))
    What it does
      Analyzes driving behavior
      Generates risk reports
      Explains risky events
    Tech Stack
      Python
      DeepSeek V3
      Amap API
      Juhe weather API
    Use Cases
      Insurance premium decisions
      Fleet driver coaching
      Risk scoring reports
    Audience
      Insurance companies
      Fleet managers
      Developers

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Generate a monthly risk report for a policyholder to justify raising or lowering their insurance premium.

USE CASE 2

Identify which fleet drivers need retraining based on speeding and hard-braking patterns.

USE CASE 3

Combine GPS, weather, and driving events into one AI-written summary of a trip.

USE CASE 4

Prototype an integration between vehicle sensor data and an insurance underwriting workflow.

What is it built with?

PythonDeepSeek V3Amap APIJuhe APIMCP

How does it compare?

terry-xiaoyu/sdv_mcp_demo00kaku/gallery-slider-block04amanrajj/netwatch
Stars——0
Language—JavaScriptRust
Last pushed2025-05-152021-05-19—
MaintenanceStaleDormant—
Setup difficultymoderateeasymoderate
Complexity3/52/53/5
Audiencedevelopergeneralops devops

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires API keys from three separate services: weather, maps, and the AI model provider.

Copy-paste prompts

Prompt 1
Help me set up sdv_mcp_demo with API keys for Amap, Juhe, and DeepSeek V3.
Prompt 2
Explain how sdv_mcp_demo turns raw GPS and speed data into a risk report.
Prompt 3
Show me how to swap the sample driving data in sdv_mcp_demo for real vehicle sensor data.
Prompt 4
Walk me through how the tool-based AI calls to Amap and Juhe work in sdv_mcp_demo.
Prompt 5
Help me customize the risk report format in sdv_mcp_demo for a fleet manager audience.

Frequently asked questions

What is sdv_mcp_demo?

Demo tool that turns raw driving data into AI-written insurance risk reports by combining GPS, weather, and driving-event data with an AI model.

Is sdv_mcp_demo actively maintained?

Stale — no commits in 1-2 years (last push 2025-05-15).

How hard is sdv_mcp_demo to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is sdv_mcp_demo for?

Mainly developer.

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