How to Use the Vertex AI Search MCP in Cline

Q: How do I perform a search query using Vertex AI Search and Cline?

You call searchdocuments, passing in the required data store ID and your query text. The output is immediately available to write into a new file or use in another command.

Q: What does MCP Server provide for checking document indexes with Vertex AI Search and Cline?

The listdatastoredocuments tool lets you list all indexed documents within a specific data store branch ID. This is key for verifying that your source files made it into the index.

Q: Can I list all search engines configured in my collection with Vertex AI Search and Cline?

The listsearchengines tool lets you see every active search engine setup. This is useful for troubleshooting or determining which service needs to be called.

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Create your Vinkius account to connect Vertex AI Search to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Vertex AI Search with Cline

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Cline: Enterprise Semantic Search

Perform a search query across your documents using `search_documents`. You only need to feed it the data store ID and the text you want to search for. Cline executes this action, treating the result as a variable for subsequent steps. It's much better than just running basic keyword searches because it uses semantic grounding, meaning it understands context, not just matching words.

MCP Server: Discovering Data Sources

Before writing code that needs data, use `list_data_stores` to get a full list of available sources. This allows Cline to verify the scope and IDs needed for your scripts. Similarly, `get_datastore_details` lets you check the configuration metadata before committing to an API call.

Cline: Generating Grounded Code Answers

The `get_grounded_answer` tool returns a natural language response that is specifically tied back to your private data. When Cline needs context for a function, it calls this tool. You get the answer *and* the citations, which is critical when writing production-grade code or documentation.

Setup guide

Set up Vertex AI Search MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type vertex-ai-search-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Vertex AI Search refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "vertex-ai-search-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vertex AI Search. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Vertex AI Search MCP in Cline

You call `search_documents`, passing in the required data store ID and your query text. The output is immediately available to write into a new file or use in another command.

The `list_datastore_documents` tool lets you list all indexed documents within a specific data store branch ID. This is key for verifying that your source files made it into the index.

Yes. The server works exclusively on private, specified data stores. It touches the document content and metadata you provide, ensuring external sources aren't used for grounding.

The `list_search_engines` tool lets you see every active search engine setup. This is useful for troubleshooting or determining which service needs to be called.

It uses your private, indexed documents. The tools read configuration details and content from your designated data stores to generate grounded answers.

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