What is Google Maps Platform Code Assist?
Google Maps Platform Code Assist is a AI tool that Enhances the responses from LLMs used for developing applications with the Google Maps Platform by grounding the responses in the official, up-to-date documentation and code samples. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by https://developers.google.com/maps/ai/mcp. Last analyzed October 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Google Maps Platform Code Assist Does
Google Maps Platform Code Assist is a mcp_server in the AI tool category. Enhances the responses from LLMs used for developing applications with the Google Maps Platform by grounding the responses in the official, up-to-date documentation and code samples. It is published by https://developers.google.com/maps/ai/mcp and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Google Maps Platform Code Assist
Google Maps Platform Code Assist is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://developers.google.com/maps/ai/mcp |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=google-maps-platform-code-assist
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Time | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated October 2026. Trust scores based on automated analysis of public data.