Integrate Redis Vector with Claude, Cursor, Chatbots & AI Agents MCP Server

Equip your AI to autonomously manage embeddings, run KNN similarity searches, and administrate vector indexes natively inside your Redis stack.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

create

Create vector index on Redis Vector

Specify the name and vector dimensions. Creates a new RediSearch vector index

delete

Delete vector on Redis Vector

Deletes a vector document from Redis

get

Get index info on Redis Vector

Retrieves details for a specific vector index

list

List indexes on Redis Vector

Lists all RediSearch vector indexes

Search vectors on Redis Vector

Provide the query vector as a JSON array of floats. Performs a KNN similarity search in a vector index

upsert

Upsert vector on Redis Vector

Specify the document key and the vector as a JSON array. Inserts or updates a vector in a Redis hash

Security & Code Integrity Audit

Every tool in the Redis Vector 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.

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

Does my Redis instance strictly need the RediSearch module?

Yes, absolutely. The base Redis product (standard open-source) only manages key-value caching out of the box. You must be running the Redis Stack or a managed tier (like Redis Enterprise or compatible cloud offerings) that explicitly includes RediSearch to generate and query KNN vector indexes.

How does the AI access my passwords and credentials?

It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.

Triggering Redis Vector via Natural Language

Securely interface Claude Code, ChatGPT, and Cursor with the Redis Vector API through semantic routing and standardized natural language triggers.

Mastering vector search with Agents

The Redis Vector server supports direct MCP connections for vector search. This provides Claude with the required permissions to execute loved by devs functions.

ChatGPT embeddings Automation

The Redis Vector MCP integration translates natural language prompts into structured embeddings queries. This allows agents to fetch and update loved by devs records securely.