MCP ExplorerExplorer

Azure Cosmos Mcp Server

@AzureCosmosDBon 9 months ago
54 MIT
FreeCommunity
AI Systems
# Model Context Protocol (MCP) Server A Model Context Protocol (MCP) server that provides secure access to Azure Cosmos DB datasets. It enables large language models (LLMs) to securely query and analyze data through a standardized interface.

Overview

What is Azure Cosmos Mcp Server

The azure-cosmos-mcp-server is a Model Context Protocol (MCP) server that facilitates secure communication between Large Language Models (LLMs) and Azure Cosmos DB datasets, allowing LLMs to query and analyze data efficiently.

Use cases

Use cases for azure-cosmos-mcp-server include data analysis, customer insights retrieval, and any scenario where LLMs need to interact with Azure Cosmos DB for data-driven decision-making.

How to use

To use azure-cosmos-mcp-server, set up your project by installing dependencies, building the project, and starting the server. Then, configure Claude Desktop with your Azure Cosmos DB credentials to enable seamless interaction with your database.

Key features

Key features include the ability to run Azure Cosmos DB queries using natural language, secure access to datasets, and a standardized interface that simplifies communication between AI models and databases.

Where to use

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Content

Azure Cosmos DB MCP Server Samples

Azure Cosmos DB MCP server logo

What is this? 🤔

This repo showcases how to build Model Context Protocol (MCP) servers using Azure Cosmos DB. Explore ready-to-run samples in multiple programming languages including TypeScript,GoLang and Java.

📦 Official Azure Cosmos DB MCP server

The Azure MCP Server enables AI agents and other types of clients to interact with Azure resources through natural language commands. It implements the Model Context Protocol (MCP) to provide these key features of multipl Azure services including Azure Cosmos DB, Please visit the repository for the latest source code, documentation, and installation instructions:

👉 Azure MCP GitHub Repository

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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