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Vinkius

Azure Cosmos DB Container Connector for AI agents.

4 live capabilities

Securely manage NoSQL data in a single Azure container.

Live agent request Azure Cosmos DB Container / Connector

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AI Agent

Why people use Azure Cosmos DB Container

Azure Cosmos DB Container for Secure NoSQL Data Storage

This Connector changes that by creating a walled garden for your data. Your agent gets everything it needs to query, create, and delete records in one specific container without ever seeing the rest of your cloud infrastructure.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a secure, scoped NoSQL database that your agent can use as its own private memory or data store.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Chatbot Memory

    A user wants their bot to remember their name.

  2. Real-world use case 02

    Status Tracking

    An ops lead asks for all 'pending' orders.

  3. Real-world use case 03

    Data Cleanup

    A developer needs to wipe old test data.

Complete set · 4capabilities

The complete Azure Cosmos DB Container capability set.

These are the exact actions your AI can choose when you ask it to work with Azure Cosmos DB Container.

Capability set01 / 01

01—04

4 capabilities in this set.

Part of 4 available through Azure Cosmos DB Container.

  1. 01 Capability

    Query documents

    Run SQL queries against the container to find specific data based on your criteria. This is useful for filtering logs or finding specific user states.

  2. 02 Capability

    Create document

    Insert new JSON documents into the container while handling partition keys automatically. Use this to save new user data or session info.

  3. 03 Capability

    Delete document

    Remove specific documents from the container to keep your data clean. This helps the agent clear out old test entries or expired sessions.

  4. 04 Capability

    Get document

    Pull a single document by its unique ID for quick lookups. This is the fastest way for your agent to grab a specific record it needs right now.

Set up in minutes

One URL. Then ask Azure Cosmos DB Container to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Azure Cosmos DB Container from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_sR5SFdydHWMVwBi2kmwRkK1Y9eFVwnJ0PxFJe5pj/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Azure Cosmos DB Container, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Azure Cosmos DB Container for the conversation.

Where the request belongs

Work Azure Cosmos DB Container can move forward.

Built around the request

This is for the backend engineer who needs to give an AI agent memory without compromising the security of their entire Azure tenant. It's for developers who need a scalable way to store JSON data while keeping permissions tight.

01

Backend Engineer

Building a production chatbot that needs to remember user preferences across sessions.

02

AI Architect

Designing a multi-agent system where each agent needs its own dedicated, isolated data silo.

03

Data Engineer

Automating the ingestion of specific JSON logs into a NoSQL environment via an agent.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Azure Blob Container logo
01 4 capabilities

Azure Blob Container

This MCP does exactly one thing: it manages files in a single Azure Blob Container. That's its only function, and nothing else. Incredible for giving your AI secure file storage.

View Connector
Aiven logo
02 30 capabilities

Aiven

Manage Aiven cloud infrastructure. provision databases, manage projects, and monitor services directly from your AI agent.

View Connector
Google Firestore Collection logo
03 3 capabilities

Google Firestore Collection

This MCP does exactly one thing: it manages documents in a single Google Firestore Collection. That's its only function, and nothing else. Incredible for giving your AI a secure NoSQL database.

View Connector
OceanBase logo
04 10 capabilities

OceanBase

Enterprise distributed relational database. manage clusters, tenants, and databases via AI.

View Connector
Amazon DynamoDB Table logo
05 5 capabilities

Amazon DynamoDB Table

This MCP does exactly one thing: it manages items in a single Amazon DynamoDB Table. That's its only function, and nothing else. Incredible for giving your AI a secure NoSQL database.

View Connector
Xata (Serverless DB) logo
06 30 capabilities

Xata (Serverless DB)

Manage your serverless databases via Xata. list organizations, manage projects, branches, and execute SQL queries directly from any AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep Azure Cosmos DB Container connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Azure Cosmos DB Container.

The practical details behind the request, access and result.

Can the Azure Cosmos DB Container MCP access my whole database?

No, it's restricted to one specific container. This keeps your other data safe while letting the agent work.

What kind of data can I store?

You can store any structured JSON data, including user profiles, logs, or chat histories.

Does this work with my existing Azure account?

Yes, it connects to your existing Cosmos DB container using the permissions you provide.

How does the AI find specific records?

It uses SQL-like queries to filter and find the exact documents you're looking for.

Is this good for giving my AI agent a long-term memory?

Yes, it's one of the best ways to give an agent a scalable way to remember information across different sessions.

Can I delete data with this Connector?

Yes, your agent can remove specific documents using their unique IDs.

Why limit the agent to a single Cosmos Container?

To enforce zero-trust security. An autonomous AI agent should not have the ability to read or delete data across your entire Cosmos DB Account (which might include user passwords, financial records, etc.). By scoping it to a single container, you eliminate the risk of catastrophic data loss.

How do I write Cosmos SQL queries here?

You don't need to specify the database or container in the query. Just use the standard alias c. For example: SELECT * FROM c WHERE c.isComplete = false. You can also pass parameters securely.

Do I need to handle Partition Keys?

The query capability automatically enables cross-partition queries to simplify AI workflows. However, for getting, creating, or deleting specific documents, you should provide the partitionKey if your container is configured to require one.

One connection away

Give your agent a direct line to Azure Cosmos DB Container.

Connect Azure Cosmos DB Container once. Keep it beside 6,100+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available