Allows interaction with Vertex AI Search (Discovery Engine) on Google Cloud, providing tools for enterprise search capabilities.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Vertex AI Search MCP Server search for latest sales report in the knowledge base"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
This is a MCP server (Stdio) for Vertex AI Search (Discovery Engine).
Related MCP server: Discovery Engine MCP Server
For cursor, execute the following command to login to Google Cloud, and add the following to the mcp.json file.
$ gcloud auth login --update-adc{
"mcpServers": {
"vertex-ai-search": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e", "PROJECT",
"-e", "LOCATION",
"-e", "ENGINE",
"-e", "LANGUAGE",
"-e", "GOOGLE_APPLICATION_CREDENTIALS=/tmp/adc.json",
"-v", "~/.config/gcloud/application_default_credentials.json:/tmp/adc.json:ro",
"ghcr.io/hi120ki/mcp-vertex-ai-search-ts-stdio@sha256:8bc5027cd219cdcd0d6860e2e6a7a4059d566bb3b55dc5fdcbd7a1ebba52aeff"
],
"env": {
"PROJECT": "<your-project-number>",
"LOCATION": "global",
"ENGINE": "<your-engine-name>",
"LANGUAGE": "en-US"
}
}
}
}This project is licensed under the MIT License. See the LICENSE file for details.
This server cannot be deployed
Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.
MCP server for Google search results via SERP API
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
