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Mcp Azure Tablestorage
What is Mcp Azure Tablestorage
mcp-azure-tablestorage is a TypeScript-based MCP Server designed to facilitate interaction with Azure Table Storage for local development. It allows users to query and manage data in Azure Storage Tables directly through Cline.
Use cases
Use cases for mcp-azure-tablestorage include querying specific tables for data, retrieving table schemas to understand data structures, and listing all available tables in an Azure Storage account for better data management.
How to use
To use mcp-azure-tablestorage, clone the repository, install dependencies, and build the server. You can also install it globally via npm or run it directly with npx. Configure the AZURE_STORAGE_CONNECTION_STRING environment variable and add the server to your MCP settings in Cline.
Key features
Key features include OData filter support for querying Azure Storage Tables, retrieving table schemas, listing all tables in the storage account, detailed error handling, and simple configuration through connection strings.
Where to use
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Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Azure Tablestorage
mcp-azure-tablestorage is a TypeScript-based MCP Server designed to facilitate interaction with Azure Table Storage for local development. It allows users to query and manage data in Azure Storage Tables directly through Cline.
Use cases
Use cases for mcp-azure-tablestorage include querying specific tables for data, retrieving table schemas to understand data structures, and listing all available tables in an Azure Storage account for better data management.
How to use
To use mcp-azure-tablestorage, clone the repository, install dependencies, and build the server. You can also install it globally via npm or run it directly with npx. Configure the AZURE_STORAGE_CONNECTION_STRING environment variable and add the server to your MCP settings in Cline.
Key features
Key features include OData filter support for querying Azure Storage Tables, retrieving table schemas, listing all tables in the storage account, detailed error handling, and simple configuration through connection strings.
Where to use
undefined
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Azure TableStore MCP Server
A TypeScript-based MCP server that enables interaction with Azure Table Storage directly through Cline. This tool allows you to query and manage data in Azure Storage Tables.
Features
- Query Azure Storage Tables with OData filter support
- Get table schemas to understand data structure
- List all tables in the storage account
- Detailed error handling and response information
- Simple configuration through connection string
Installation
Local Development Setup
- Clone the repository:
git clone https://github.com/dkmaker/mcp-azure-tablestorage.git
cd mcp-azure-tablestorage
- Install dependencies:
npm install
- Build the server:
npm run build
NPM Installation
You can install the package globally via npm:
npm install -g dkmaker-mcp-server-tablestore
Or run it directly with npx:
npx dkmaker-mcp-server-tablestore
Note: When using npx or global installation, you’ll still need to configure the AZURE_STORAGE_CONNECTION_STRING environment variable.
Installing in Cline
To use the Azure TableStore server with Cline, you need to add it to your MCP settings configuration. The configuration file is located at:
Windows: %APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json
Add the following to your configuration:
Replace C:/path/to/your/mcp-azure-tablestorage with the actual path where you cloned the repository.
Configuration
The server requires the following environment variable:
AZURE_STORAGE_CONNECTION_STRING: Your Azure Storage account connection string
Usage in Cline
⚠️ IMPORTANT SAFETY NOTE: The query_table tool returns a limited subset of results (default: 5 items) to protect the LLM’s context window. DO NOT increase this limit unless explicitly confirmed by the user, as larger result sets can overwhelm the context window.
Once installed, you can use the Azure TableStore server through Cline. Here are some examples:
- Querying a table:
Query the Users table where PartitionKey is 'ACTIVE'
Cline will use the query_table tool with:
The response will include:
- Total number of items that match the query (without limit)
- Limited subset of items (default 5) for safe LLM processing
- Applied limit value
For example:
This design allows the LLM to understand the full scope of the data while working with a manageable subset. The default limit of 5 items protects against overwhelming the LLM’s context window - this limit should only be increased when explicitly confirmed by the user.
- Getting table schema:
Show me the schema for the Orders table
Cline will use the get_table_schema tool with:
{
"tableName": "Orders"
}
- Listing tables:
List all tables in the storage account
Cline will use the list_tables tool with:
{}
Project Structure
src/index.ts: Main server implementation with Azure Table Storage interaction logicbuild/: Compiled JavaScript outputpackage.json: Project dependencies and scripts
Dependencies
- @azure/data-tables: Azure Table Storage client library
- @modelcontextprotocol/sdk: MCP server implementation toolkit
License
This project is licensed under the MIT License - see the LICENSE file for details. This means you can use, modify, distribute, and sublicense the code freely, provided you include the original copyright notice and license terms.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










