pulsemcp Safe content atomic mcp-remote

Gemini Cloud Assist

Official Google Cloud Platform integration providing AI assistants with advanced troubleshooting and resource analysis capabilities through the Gemini Cloud Assist API. Built by Google LLC using TypeScript, it enables creation and management of structured investigations that automatically analyze GCP environments, correlate logs and events, generate hypotheses about issues, and provide detailed troubleshooting reports with links to relevant Cloud Console pages. The server also includes an intelligent resource search tool that can query and analyze information across multiple GCP services including Compute, CloudSQL, and Containers, making it valuable for DevOps teams, SREs, and cloud engineers who need to quickly diagnose complex infrastructure problems, understand resource relationships, and get actionable insights for resolving GCP-related issues.

Cognium trust score

30%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/googlecloudplatform/gemini-cloud-assist-mcp
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Gemini Cloud Assist from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"