pulsemcp Safe content atomic mcp-remote

Vertex AI Gemini

Vertex AI MCP Server provides a bridge to Google Cloud's Vertex AI Gemini models through a TypeScript implementation that supports web search grounding, direct knowledge answering, and documentation-based responses. The server exposes tools like answer_query_websearch, answer_query_direct, and answer_doc_query, with configurable parameters for model selection, temperature, and output tokens. It features streaming API support for better responsiveness, basic retry logic for handling transient errors, and minimal safety filters to reduce potential blocking, making it valuable for developers seeking high-quality AI responses with the reliability of Google's infrastructure.

Cognium trust score
50%
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.

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
search
Source
PulseMCP
Author type
human
Updated
2026-04-25
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Use via MCP

MCP

Resolve Vertex AI Gemini 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.

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