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Vinkius

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

Run k-NN vector searches on OpenSearch — create indexes, upsert embeddings, query similar documents, and manage your vector store from any AI agent.
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Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
create

Create index on OpenSearch Vector

knn: true` and mapping a rigid dynamic dense vector field optimized for cosine similarity. Create a new native OpenSearch KNN index ready for vector embeddings

delete

Delete document on OpenSearch Vector

Delete an explicit vector document bounding from OpenSearch

get

Get index on OpenSearch Vector

Retrieve explicit OpenSearch index mapping and settings

index

Index document on OpenSearch Vector

This executes a fast transactional atomic insertion into the embedding space. Upsert a singular vector document directly into an OpenSearch KNN index

list

List indexes on OpenSearch Vector

List all explicit indexes residing on the OpenSearch cluster

action

Search on OpenSearch Vector

Provide the exact index name and a JSON-stringified dense float vector array to find conceptually similar embeddings natively. Execute a K-Nearest Neighbors (k-NN) vector search against OpenSearch

Security & Code Integrity Audit

Every tool in the OpenSearch 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.

MCP Inspector
A+Score: 100

How Vinkius protects your data

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.

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.

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.

Does this work with Amazon OpenSearch Service (managed)?

Yes. Provide the Amazon OpenSearch Service endpoint as the host (e.g., https://search-xxx.us-east-1.es.amazonaws.com) along with the master username and password. The integration uses standard REST APIs that work identically on managed and self-hosted clusters.

What can AI Agents do with OpenSearch Vector?

The OpenSearch Vector integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.

Automating vector database with AI

Use the OpenSearch Vector server to execute vector database operations from your AI agent. The protocol manages state and authentication for continuous loved by devs workflows.

Cursor Copilot for k nn

Integrate OpenSearch Vector for AI-driven k nn management. The MCP server structures the outputs required for Claude to analyze loved by devs data.

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