Integrate Vectara with Claude, Cursor, Chatbots & AI Agents MCP Server

Empower your agent with Vectara's RAG capabilities. Search corpora natively, execute grounded chats, and manage indexed datasets easily.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

delete

Delete corpus document on Vectara

This action is irreversible. Permanently removes a document from a corpus

execute

Execute rag chat on Vectara

Provide corpus keys and the user query to get a summarized AI response with citations. Executes a RAG-powered chat completion

get

Get corpus details on Vectara

Retrieves metadata and configuration for a specific corpus

list

List chat sessions on Vectara

Lists previous RAG chat sessions

list

List corpora on Vectara

Lists all corpora (searchable datasets) in the Vectara account

list

List corpus documents on Vectara

Lists all indexed documents within a specific corpus

perform

Perform semantic search on Vectara

Provide one or more comma-separated corpus keys and the query text. Executes a semantic search across one or more corpora

Security & Code Integrity Audit

Every tool in the Vectara MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

Is there a risk of the AI "going crazy" and deleting important company data?

No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.

Can I query my internal documents directly using just conversational chat?

Yes. If your data is indexed in a Vectara corpus, simply ask your agent: search the 'employee-handbook' corpus for remote work policies. The agent uses the queryTool to pass your question to Vectara's semantic engine, effortlessly bringing back precisely matching paragraph citations instantly.

What happens if the underlying API rate limits my agent?

Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.

What can AI Agents do with Vectara?

The Vectara integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.

Autonomous rag Strategies

The Vectara connection gives ChatGPT direct access to rag tools. The integration handles the logic required for continuous ai frontier operations.

The Future of semantic search

The Vectara toolkit provides AI native integration for semantic search. It structures data so Claude Code can accurately process ai frontier requirements.