Enables querying ADP data through SQL-like operations, allowing access to HR and payroll information stored in ADP systems.
Provides access to Airtable databases with tools for querying tables, retrieving column information, and executing SQL SELECT operations on Airtable data.
Allows querying Amazon DynamoDB databases through SQL-like interface, enabling retrieval and analysis of NoSQL data stored in DynamoDB tables.
Enables access to Amazon S3 storage through SQL queries, allowing analysis of data stored in S3 buckets and objects.
Provides tools for querying Asana project management data, including tasks, projects, and team information through SQL-like operations.
Enables querying Basecamp project management data through SQL operations, providing access to projects, tasks, and collaboration information.
Allows querying BigCommerce e-commerce data including products, orders, customers, and store analytics through SQL-like interface.
Provides access to Bitbucket repository data through SQL queries, enabling analysis of code repositories, issues, and development metrics.
Enables querying Box cloud storage data through SQL operations, providing access to files, folders, and collaboration information.
Allows querying Confluence wiki and documentation data through SQL-like operations, providing access to pages, spaces, and content analytics.
Provides SQL query access to Couchbase NoSQL databases, enabling retrieval and analysis of document-based data.
Enables querying Databricks data platform through SQL operations, providing access to data analytics and machine learning workspaces.
Allows querying Dropbox cloud storage data through SQL-like interface, providing access to files, folders, and sharing information.
Provides tools for querying eBay marketplace data including listings, sales, and analytics through SQL operations.
Enables querying Elasticsearch search and analytics engine through SQL-like operations, providing access to indexed data and search metrics.
Allows querying EnterpriseDB PostgreSQL databases through SQL operations, providing access to enterprise database systems.
Provides access to Facebook social media data through SQL queries, enabling analysis of posts, engagement metrics, and social interactions.
Enables querying GitHub repository data through SQL operations, providing access to code repositories, issues, pull requests, and development analytics.
Allows querying Gmail email data through SQL-like operations, providing access to messages, contacts, and email analytics.
Provides tools for querying Google Ads campaign data through SQL operations, enabling analysis of advertising performance and metrics.
Enables querying Google Analytics data through SQL-like operations, providing access to website traffic, user behavior, and conversion metrics.
Allows querying Google Calendar data through SQL operations, providing access to events, schedules, and calendar analytics.
Provides access to Google Campaign Manager 360 advertising data through SQL queries, enabling analysis of digital marketing campaigns.
Enables querying Google Cloud Storage data through SQL operations, providing access to cloud-stored files and metadata.
Allows querying Google Drive file storage data through SQL-like operations, providing access to files, folders, and sharing information.
Provides tools for querying Google Sheets spreadsheet data through SQL operations, enabling analysis of tabular data and calculations.
Enables querying GraphQL APIs through SQL-like operations, providing access to GraphQL schema and data endpoints.
Allows querying Greenhouse recruiting platform data through SQL operations, providing access to candidates, jobs, and hiring analytics.
Provides tools for querying HubSpot CRM data through SQL operations, enabling access to contacts, deals, marketing campaigns, and sales analytics.
Enables querying Instagram social media data through SQL operations, providing access to posts, engagement metrics, and social analytics.
Allows querying Jira project management data through SQL-like operations, providing access to issues, projects, workflows, and development tracking.
Enables querying MailChimp email marketing data through SQL operations, providing access to campaigns, subscribers, and email analytics.
Allows querying MariaDB databases through SQL operations, providing full access to relational database tables and data.
Provides SQL query access to MongoDB NoSQL databases, enabling retrieval and analysis of document-based data collections.
Enables querying MYOB accounting software data through SQL operations, providing access to financial records and business analytics.
Allows querying MySQL databases through SQL operations, providing full access to relational database tables and data.
Provides SQL query access to Neo4j graph databases, enabling analysis of nodes, relationships, and graph data structures.
Enables querying Odoo ERP system data through SQL operations, providing access to business processes, inventory, and operational data.
Allows querying Okta identity management data through SQL operations, providing access to user authentication and access control information.
Provides tools for querying PayPal payment data through SQL operations, enabling analysis of transactions and financial metrics.
Enables querying Pinterest social media data through SQL operations, providing access to pins, boards, and engagement analytics.
Allows querying PostgreSQL databases through SQL operations, providing full access to advanced relational database features and data.
Provides SQL query access to Presto distributed SQL query engine, enabling analysis of large-scale data across multiple sources.
Enables querying QuickBooks accounting data through SQL operations, providing access to financial records, invoices, and business analytics.
Allows querying Redis in-memory data store through SQL-like operations, providing access to cached data and key-value pairs.
Provides tools for querying RSS feed data through SQL operations, enabling analysis of syndicated content and feed metrics.
Enables querying Sage accounting and business management software through SQL operations, providing access to financial and operational data.
Allows querying Salesforce CRM data through SQL operations, providing access to leads, opportunities, accounts, and sales analytics.
Provides tools for querying SAP enterprise software data through SQL operations, enabling access to business processes and ERP data.
Enables querying SendGrid email delivery data through SQL operations, providing access to email campaigns and delivery analytics.
Allows querying Shopify e-commerce platform data through SQL operations, providing access to products, orders, customers, and sales analytics.
Provides SQL query access to SingleStore distributed database, enabling high-performance analytics on real-time and historical data.
Enables querying Slack workspace data through SQL operations, providing access to messages, channels, users, and communication analytics.
Allows querying Snapchat advertising data through SQL operations, providing access to ad campaigns and social media analytics.
Provides SQL query access to Snowflake cloud data warehouse, enabling analysis of large-scale structured and semi-structured data.
Enables querying Splunk machine data platform through SQL operations, providing access to logs, metrics, and operational analytics.
Allows querying Square payment processing data through SQL operations, providing access to transactions and business analytics.
Provides tools for querying Stripe payment platform data through SQL operations, enabling analysis of transactions and financial metrics.
Enables querying SurveyMonkey survey data through SQL operations, providing access to responses, analytics, and survey insights.
Allows querying Teradata data warehouse through SQL operations, providing access to enterprise-scale analytics and data management.
Provides tools for querying Trello project management data through SQL operations, enabling access to boards, cards, and workflow analytics.
Enables querying Trino distributed SQL query engine through SQL operations, providing fast analytics across multiple data sources.
Allows querying Twilio communication platform data through SQL operations, providing access to messaging, voice, and communication analytics.
Provides tools for querying WooCommerce e-commerce data through SQL operations, enabling access to products, orders, and sales analytics.
Enables querying WordPress content management data through SQL operations, providing access to posts, pages, users, and site analytics.
Allows querying Xero accounting software data through SQL operations, providing access to financial records and business analytics.
Provides tools for querying XML data sources through SQL operations, enabling analysis of structured XML datasets and documents.
Enables querying YouTube analytics data through SQL operations, providing access to video metrics, channel performance, and audience insights.
Allows querying Zendesk customer support data through SQL operations, providing access to tickets, customer interactions, and support analytics.
Provides tools for querying Zoho business application data through SQL operations, enabling access to CRM, project management, and business analytics.
azure-table-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for Azure Table
: This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Azure Table (beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data Azure Table supported by the CData JDBC Driver for Azure Table.
CData JDBC Driver connects to Azure Table by exposing them as relational SQL models.
This server wraps that driver and makes Azure Table data available through a simple MCP interface, so LLMs can retrieve live information by asking natural language questions — no SQL required.
Setup Guide
- Clone the repository:
- Build the server:This creates the JAR file: CDataMCP-jar-with-dependencies.jar
- Download and install the CData JDBC Driver for {source}: https://www.cdata.com/drivers/azure/download/jdbc
- License the CData JDBC Driver:
- Navigate to the
lib
folder in the installation directory, typically:- (Windows)
C:\Program Files\CData\CData JDBC Driver for Azure Table\
- (Mac/Linux)
/Applications/CData JDBC Driver for Azure Table/
- (Windows)
- Run the command
java -jar cdata.jdbc.azuretables.jar --license
- Enter your name, email, and "TRIAL" (or your license key).
- Navigate to the
- Configure your connection to the data source (Salesforce as an example):
- Run the command
java -jar cdata.jdbc.azuretables.jar
to open the Connection String utility. - Configure the connection string and click "Test Connection"
Note: If the data sources uses OAuth, you will need to authenticate in your browser.
- Once successful, copy the connection string for use later.
- Run the command
- Create a
.prp
file for your JDBC connection (e.g.azure-table.prp
) using the following properties and format:- Prefix - a prefix to be used for the tools exposed
- ServerName - a name for your server
- ServerVersion - a version for your server
- DriverPath - the full path to the JAR file for your JDBC driver
- DriverClass - the name of the JDBC Driver Class (e.g. cdata.jdbc.azuretables.AzureTablesDriver)
- JdbcUrl - the JDBC connection string to use with the CData JDBC Driver to connect to your data (copied from above)
- Tables - leave blank to access all data, otherwise you can explicitly declare the tables you wish to create access for
Using the Server with Claude Desktop
- Create the config file for Claude Desktop ( claude_desktop_config.json) to add the new MCP server, using the format below. If the file already exists, add the entry to the
mcpServers
in the config file. WindowsLinux/MacIf needed, copy the config file to the appropriate directory (Claude Desktop as the example). WindowsLinux/Mac - Run or refresh your client (Claude Desktop).
Note: You may need to fully exit or quit your Claude Desktop client and re-open it for the MCP Servers to appear.
Running the Server
- Run the follow the command to run the MCP Server on its own
Usage Details
Once the MCP Server is configured, the AI client will be able to use the built-in tools to read, write, update, and delete the underlying data. In general, you do not need to call the tools explicitly. Simply ask the client to answer questions about the underlying data system. For example:
- "What is the correlation between my closed won opportunities and the account industry?"
- "How many open tickets do I have in the SUPPORT project?"
- "Can you tell me what calendar events I have today?"
The list of tools available and their descriptions follow:
Tools & Descriptions
In the definitions below, {servername}
refers to the name of the MCP Server in the config file (e.g. {classname_dash}
above).
{servername}_get_tables
- Retrieves a list of tables available in the data source. Use the{servername}_get_columns
tool to list available columns on a table. The output of the tool will be returned in CSV format, with the first line containing column headers.{servername}_get_columns
- Retrieves a list of columns for a table. Use the{servername}_get_tables
tool to get a list of available tables. The output of the tool will be returned in CSV format, with the first line containing column headers.{servername}_run_query
- Execute a SQL SELECT query
JSON-RPC Request Examples
If you are scripting out the requests sent to the MCP Server instead of using an AI Client (e.g. Claude), then you can refer to the JSON payload examples below – following the JSON-RPC 2.0 specification - when calling the available tools.
azure_table_get_tables
azure_table_get_columns
azure_table_run_query
Troubleshooting
- If you cannot see your CData MCP Server in Claude Desktop, be sure that you have fully quit Claude Desktop (Windows: use the Task Manager, Mac: use the Activity Monitor)
- If Claude Desktop is unable to retrieve data, be sure that you have configured your connection properly. Use the Connection String builder to create the connection string (see above) and copy the connection string into the property (.prp) file.
- If you are having trouble connecting to your data source, contact the CData Support Team.
- If you are having trouble using the MCP server, or have any other feedback, join the CData Community.
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
All Supported Sources
This server cannot be installed
local-only server
The server can only run on the client's local machine because it depends on local resources.
Azure Table MCP Server by CData
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