Vertex AI Search
This MCP server implementation provides a bridge to Google's Vertex AI and Discovery Engine APIs, enabling AI assistants to perform advanced search and retrieval operations on large datasets. Developed by yu-iskw, it leverages Google Cloud services to offer powerful search capabilities, including semantic search and natural language understanding. The server is designed to work with various MCP-compatible clients and supports both CLI and server modes. It's particularly useful for applications requiring intelligent information retrieval from extensive document collections, such as technical documentation search, knowledge base querying, or content recommendation systems. The implementation focuses on efficient integration with Google's AI services, making it suitable for organizations already using or looking to adopt Google Cloud technologies for their AI and search needs.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/ubie-oss/mcp-vertexai-search
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Vertex AI Search 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.