How to Use the Vectara MCP in Cline

Q: Can I list my corpora using Vectara in Cline?

Yes, you can run listcorpora to get a full list of every available dataset. This helps Cline determine which source keys it needs to include in its multi-step actions.

Q: Does the MCP Server support data deletion for Cline?

The tool deletecorpusdocument allows permanent removal of documents from a corpus. Use this with extreme caution, as losing indexed data is irreversible.

Automate coding tasks with Cline using Vectara’s structured search and chat capabilities.

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Connect Vectara MCP to Cline

Create your Vinkius account to connect Vectara 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 Vectara with Cline

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Grounded Chat Completions

Tell Cline to answer questions based on your project data. The `execute_rag_chat` tool accepts corpus keys and a user query, returning an AI summary with specific citations. This stops the agent from hallucinating; it forces it to cite concrete evidence found within your indexed datasets.

Running Semantic Searches

Need background data for a component? Use `perform_semantic_search`. You provide one or more corpus keys and query text, executing a search across the specified datasets. Cline runs this search result through its logic to help write code that relies on real-time project knowledge.

Inventorying Code Data

Before writing anything, check what data exists. `list_corpus_documents` lets you see all indexed documents inside a corpus. Meanwhile, `get_corpus_details` retrieves the full metadata and configuration for any given source. This visibility is critical when Cline needs to ensure its generated files match existing project standards.

Setup guide

Set up Vectara 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 vectara-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 Vectara 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": {
    "vectara-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Vectara MCP in Cline

Cline calls the MCP Server tools directly during task execution. It uses functions like `perform_semantic_search` to gather necessary data before generating code components or writing tests.

Vectara manages indexed documents and corpus metadata, which are treated as textual sources. This means the scope is confined to structured text datasets within your repositories.

Yes, you can run `list_corpora` to get a full list of every available dataset. This helps Cline determine which source keys it needs to include in its multi-step actions.

The tool `delete_corpus_document` allows permanent removal of documents from a corpus. Use this with extreme caution, as losing indexed data is irreversible.

It touches textual metadata and the content of indexed documents. The operations are focused on searching and retrieving structured information from defined corpora.

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