How to Compare EV Charging Networks with ChatGPT
Compare EV Charging Network Coverage with ChatGPT and ToolRouter. Produce formatted network comparison reports for fleet decisions and EV policy research.
Tool
Use ChatGPT with EV Chargers to compare network coverage and produce a formatted comparison document. ChatGPT is well-suited for converting network statistics into a clear comparison table or policy brief — organized by the metrics that matter for fleet procurement decisions or EV infrastructure reporting.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
Steps
Once connected (see setup above), use the EV Chargers tool:
- Specify the comparison scope — all UK networks, networks in specific regions, or a targeted set.
- Ask ChatGPT to run `network_stats` and `country_stats` via `ev-chargers`.
- Have ChatGPT produce a comparison table with key metrics for each network.
- Ask for a fleet recommendation or policy summary based on the data.
Example Prompt
Try this with ChatGPT using the EV Chargers tool
Use ev-chargers to compare UK charging networks using network_stats. Produce a comparison table with: network name, total charger count, rapid charger percentage, CCS connector percentage, and estimated UK coverage density. Include a brief recommendation for which network a fleet operator should prioritize for a CCS rapid-charge contract.
Tips
- Include rapid charger percentage, not just total count — a network with 10,000 slow chargers is less useful for fleet operations than one with 2,000 rapids.
- Ask for a fleet recommendation as a final section so the document has a clear conclusion.
- Compare connector type distribution across networks — a network with 90% Type 2 and 10% CCS is a poor choice for CCS vehicles.