A MCP server for Vertex AI Search
A MCP server for Vertex AI Search
This solution uses Gemini with Vertex AI grounding to search documents using your private data. Grounding improves the quality of search results by grounding Gemini's responses in your data stored in Vertex AI Datastore. We can integrate one or multiple Vertex AI data stores to the MCP server. For more details on grounding, refer to Vertex AI Grounding Documentation.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| server | server.name: The name of the MCP server |
| model | model.model_name: The name of the Vertex AI model |
| model.project_id | The project ID of the Vertex AI model |
| model.location | The location of the model (e.g. us-central1) |
| model.impersonate_service_account | The service account to impersonate |
| model.generate_content_config | The configuration for the generate content API |
| data_stores | The list of Vertex AI data stores |
| data_stores.project_id | The project ID of the Vertex AI data store |
| data_stores.location | The location of the Vertex AI data store (e.g. us) |
| data_stores.datastore_id | The ID of the Vertex AI data store |
| data_stores.tool_name | The name of the tool |
| data_stores.description | The description of the Vertex AI data store |
{
"mcpServers": {
"vertexai-search": {
"command": "uvx",
"args": ["git"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Local Issue triage with optional Jev judgments and calibrated acceptance gates.
Coding agents run multi-leg cross-chain DeFi. Legs re-derived from your sentence before signing.
A Model Context Protocol server for IIIF images
One journal file per project that your AI reads at session start and updates as it works.