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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/shariqriazz/vertex-ai-mcp-server
- Author type
- human
- Updated
- 2026-04-25
Use via 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 --scope user for --scope project to commit it to .mcp.json.