io.github.ryanbaumann/platform-ai

MCPcommunity
v0.2.0io.github.ryanbaumannUnknownUpdated 9mo agonpmGitHub

Google Maps Platform Code Assist MCP

The Google Maps Platform Code Assist toolkit is a Model Context Protocol (MCP) server that enhances the responses from large language models (LLMs) used for developing applications with the Google Maps Platform by grounding the responses in the official, up-to-date documentation and code samples. Since the MCP server accesses the content when the model is prompted, the LLM's context regarding…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
9mo agoLast update
Package
Authorio.github.ryanbaumann
LicenseUnknown
Version0.2.0
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · clean+30/30
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
Dependencies60 resolved · 1 with advisories
Tool surface
Security scan⚠ Warnings (0)v0.2.1 · 20d ago
DEPaxios@1.12.0GHSA-35jp-ww65-95wh, GHSA-3g43-6gmg-66jw, GHSA-3p68-rc4w-qgx5
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

The Google Maps Platform Code Assist toolkit is a Model Context Protocol (MCP) server that enhances the responses from large language models (LLMs) used for developing applications with the Google Maps Platform by grounding the responses in the official, up-to-date documentation and code samples. Since the MCP server accesses the content when the model is prompted, the LLM's context regarding Google Maps Platform does not have to be limited to the available data at the model's training date.…

Keywords
mcp