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Azure Cosmos MCP Server: Secure Access & Instant Querying - MCP Implementation

Azure Cosmos MCP Server: Secure Access & Instant Querying

Empower LLMs with secure, instant access to Azure Cosmos DB datasets – this MCP server lets AI safely query, analyze, and act on your data through a rock-solid standardized interface.

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Ranked in the top 6% of all AI tools in its category

About Azure Cosmos MCP Server

What is Azure Cosmos MCP Server: Secure Access & Instant Querying?

Imagine a bridge between your AI models and Azure Cosmos DB that ensures seamless, secure conversations without manual coding. The Azure Cosmos MCP Server acts as this intermediary, enabling Large Language Models (LLMs) like Claude to access your database directly. This server uses the Model Context Protocol (MCP) to translate natural language queries into efficient database commands, safeguarding data integrity while delivering real-time insights.

How to Use Azure Cosmos MCP Server: Secure Access & Instant Querying?

  1. Prepare Your Environment: Install Node.js (v14+) and ensure access to an Azure Cosmos DB account or emulator.
  2. Configure Credentials: Create a .env file with connection strings and API keys for authentication.
  3. Deploy the Server: Run npm install followed by node server.js to initialize the MCP gateway.
  4. Integrate with LLMs: Use API endpoints provided by the server to route queries from models like Claude to Cosmos DB.
  5. Test Queries: Validate functionality by sending sample requests through tools like Postman or cURL.

Azure Cosmos MCP Server Features

Key Features of Azure Cosmos MCP Server: Secure Access & Instant Querying?

  • Granular Security: Role-based access control (RBAC) ensures only authorized models interact with sensitive datasets.
  • Low-Latency Execution: Optimized query routing minimizes response times by leveraging Cosmos DB's global distribution.
  • Schema-Agnostic: Works with any database structure—SQL, MongoDB, or graph—without requiring schema changes.
  • Compliance-Ready: Auditable logs track every query and result, simplifying GDPR and SOC2 compliance efforts.

Use Cases of Azure Cosmos MCP Server: Secure Access & Instant Querying?

Real-Time Analytics

Power conversational dashboards that let users ask questions like "Show me Q3 sales in the Midwest" without writing SQL.

Automated Support Tickets

Route customer service queries to query databases directly, e.g., "Check account status for user #12345."

IoT Data Interpretation

Enable AI models to analyze sensor data stored in Cosmos DB, translating raw metrics into actionable insights.

Azure Cosmos MCP Server FAQ

FAQ from Azure Cosmos MCP Server: Secure Access & Instant Querying?

Does this support multi-tenant environments?

Yes - built-in tenant isolation ensures data from different clients remains strictly separated through namespace scoping.

How are API limits enforced?

Rate limiting and quota tracking are managed via Azure Monitor integration, with customizable thresholds.

Can I use this with custom models?

Absolutely - the REST API endpoints are model-agnostic, requiring only JSON-formatted natural language inputs.

What happens during network outages?

Fallback mechanisms automatically switch to secondary regions, maintaining uptime through Cosmos DB's multi-region writes.

Content

Azure Cosmos DB MCP Server

Azure Cosmos DB MCP server logo

What is this? 🤔

This is a server that lets your LLMs (like Claude) talk directly to your Azure Cosmos DB data! Think of it as a friendly translator that sits between your AI assistant and your database, making sure they can chat securely and efficiently.

Quick Example

You: "What were our top 10 customers last month?"
Claude: *queries your Azure Cosmos DB database and gives you the answer in plain English*

How Does It Work? 🛠️

This server leverages the Model Context Protocol (MCP), a versatile framework that acts as a universal translator between AI models and databases. Although MCP is built to support any AI model, it is currently accessible as a developer preview in Claude Desktop.

Here's all you need to do:

  1. Set up project (see below)
  2. Add your project details to Claude Desktop's config file
  3. Start chatting with your Azure Cosmos DB data naturally!

What Can It Do? 📊

  • Run Azure Cosmos DB queries by just asking questions in plain English

Quick Start 🚀

Prerequisites

  • Node.js 14 or higher
  • Azure Cosmos DB NOSQL account or Azure Cosmos DB Emulator
  • Claude Desktop

Set up project

  • Obtain Azure Cosmos DB NOSQL account URI and the KEY from the keys section and create an '.env' file with the below key and replace the values

    COSMOSDB_URI=
    COSMOSDB_KEY=

Getting Started

  1. Install Dependencies
    Run the following command in the root folder to install all necessary dependencies:

    npm install

  2. Build the Project
    Compile the project by running:

    npm run build

  3. Start the Server
    Navigate to the dist folder and start the server:

    npm start

  4. Confirmation Message
    You should see the following message:

    Azure Cosmos DB Server running on stdio

Add your project details to Claude Destkop's config file

Open Claude Desktop and Navigate to File -> Settings -> Developer -> Edit Config and open the claude_desktop_config file and replace with the values below,

{
  "mcpServers": {
    "cosmosdb": {
      "command": "node",
      "args": [ "C:/Cosmos/azure-cosmos-mcp/dist/index.js" ] // Your Path for the Azure Cosmos DB MCP server file,
      "env": {
        "COSMOSDB_URI": "Your Cosmos DB Account URI",
        "COSMOSDB_KEY": "Your Cosmos DB KEY"
      }
    }
  }
}

You should now have successfully configured the MCP server for Azure Cosmos DB with Claude Desktop. This setup allows you to seamlessly interact with Azure Cosmos DB through the MCP server as shown below.

https://github.com/user-attachments/assets/ae3a14f3-9ca1-415d-8645-1c8367fd6943

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

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