Enables querying live data from ADP through SQL-like operations, allowing access to HR and payroll information via natural language queries.
Provides access to Airtable databases with tools for querying tables, columns, and executing SQL SELECT operations on Airtable data.
Allows querying Amazon DynamoDB tables through SQL-like operations, providing access to NoSQL data via relational queries.
Enables access to Amazon S3 storage through SQL queries, allowing retrieval of object metadata and bucket information.
Provides tools for querying Asana project management data including tasks, projects, and team information through SQL operations.
Allows access to Basecamp project data through SQL queries, enabling retrieval of projects, tasks, and team collaboration information.
Enables querying BigCommerce e-commerce data including products, orders, customers, and store information through SQL operations.
Provides access to Bitbucket repositories, issues, and project data through SQL-like queries for development workflow information.
Allows querying Box cloud storage data including files, folders, and sharing information through SQL operations.
Enables access to Confluence wiki and documentation data through SQL queries, allowing retrieval of pages, spaces, and content information.
Provides tools for querying Couchbase NoSQL database through SQL-like operations, enabling access to document data via relational queries.
Allows querying Databricks analytics platform data through SQL operations, providing access to data science and machine learning workflows.
Enables access to Dropbox file storage through SQL queries, allowing retrieval of file and folder metadata and sharing information.
Provides tools for querying eBay marketplace data including listings, transactions, and seller information through SQL operations.
Allows querying Elasticsearch search and analytics engine through SQL-like operations, enabling access to indexed data and search results.
Enables querying EnterpriseDB PostgreSQL databases through SQL operations, providing access to enterprise database information.
Provides access to Facebook social media data through SQL queries, enabling retrieval of posts, pages, and social interaction information.
Allows querying GitHub repository data including repositories, issues, pull requests, and development activity through SQL operations.
Enables access to Gmail email data through SQL queries, allowing retrieval of messages, threads, and email metadata.
Provides tools for querying Google Ads campaign data including advertisements, keywords, and performance metrics through SQL operations.
Allows access to Google Analytics web analytics data through SQL queries, enabling retrieval of website traffic and user behavior information.
Enables querying Google Calendar data including events, schedules, and calendar information through SQL operations.
Provides access to Google Campaign Manager 360 advertising data through SQL queries, allowing retrieval of campaign and performance information.
Allows querying Google Cloud Storage data including buckets, objects, and metadata through SQL operations.
Enables access to Google Drive file storage through SQL queries, allowing retrieval of files, folders, and sharing information.
Provides tools for querying Google Sheets spreadsheet data through SQL operations, enabling access to worksheet content and metadata.
Allows querying GraphQL APIs through SQL-like operations, providing access to GraphQL endpoint data via relational queries.
Enables access to Greenhouse recruiting platform data through SQL queries, allowing retrieval of job postings, candidates, and hiring information.
Provides tools for querying HubSpot CRM data including contacts, deals, companies, and marketing information through SQL operations.
Allows access to Instagram social media data through SQL queries, enabling retrieval of posts, stories, and engagement metrics.
Enables querying Jira issue tracking data including tickets, projects, and workflow information through SQL operations.
Allows access to MailChimp email marketing data through SQL queries, enabling retrieval of campaigns, subscribers, and email performance information.
Enables querying MariaDB databases through SQL operations, providing access to relational database tables and content.
Provides tools for querying MongoDB NoSQL databases through SQL-like operations, enabling access to document data via relational queries.
Allows access to MYOB accounting software data through SQL queries, enabling retrieval of financial and business information.
Enables querying MySQL databases through SQL operations, providing access to relational database tables and content.
Provides tools for querying Neo4j graph databases through SQL-like operations, enabling access to graph data via relational queries.
Allows access to Odoo ERP system data through SQL queries, enabling retrieval of business process and management information.
Enables querying Okta identity management data through SQL operations, allowing access to user, group, and authentication information.
Provides tools for querying PayPal payment platform data including transactions, payments, and account information through SQL operations.
Allows access to Pinterest social media data through SQL queries, enabling retrieval of pins, boards, and engagement metrics.
Enables querying PostgreSQL databases through SQL operations, providing access to relational database tables and content.
Provides tools for querying Presto distributed SQL query engine, enabling access to multiple data sources through unified SQL operations.
Allows access to QuickBooks accounting software data through SQL queries, enabling retrieval of financial transactions and business information.
Enables querying Redis in-memory data structure store through SQL-like operations, providing access to cached data via relational queries.
Provides tools for querying RSS feed data through SQL operations, enabling access to syndicated content and feed information.
Allows access to Sage accounting and business software data through SQL queries, enabling retrieval of financial and operational information.
Enables querying Salesforce CRM data including leads, opportunities, accounts, and sales information through SQL operations.
Provides tools for querying SAP enterprise software data including ERP, business processes, and operational information through SQL operations.
Allows access to SendGrid email delivery platform data through SQL queries, enabling retrieval of email campaigns and delivery metrics.
Enables querying Shopify e-commerce platform data including products, orders, customers, and store information through SQL operations.
Provides tools for querying SingleStore distributed database through SQL operations, enabling access to real-time analytics data.
Allows access to Slack workspace data through SQL queries, enabling retrieval of messages, channels, and team communication information.
Enables querying Snapchat advertising platform data through SQL operations, allowing access to campaign and performance information.
Provides tools for querying Snowflake cloud data warehouse through SQL operations, enabling access to enterprise data analytics.
Allows access to Splunk machine data platform through SQL queries, enabling retrieval of logs, metrics, and operational intelligence.
Enables querying Square payment platform data including transactions, payments, and merchant information through SQL operations.
Provides tools for querying Stripe payment processing data including transactions, customers, and subscription information through SQL operations.
Allows access to SurveyMonkey survey platform data through SQL queries, enabling retrieval of surveys, responses, and analytics information.
Enables querying Teradata enterprise data warehouse through SQL operations, providing access to large-scale analytics and business intelligence data.
Provides tools for querying Trello project management data including boards, cards, and team collaboration information through SQL operations.
Allows access to Trino distributed SQL query engine, enabling queries across multiple data sources through unified SQL operations.
Enables querying Twilio communications platform data including messages, calls, and communication logs through SQL operations.
Provides tools for querying WooCommerce e-commerce data including products, orders, customers, and store information through SQL operations.
Allows access to WordPress content management system data through SQL queries, enabling retrieval of posts, pages, and site information.
Enables querying Xero accounting software data through SQL operations, allowing access to financial transactions and business information.
Provides tools for querying XML data sources through SQL-like operations, enabling access to structured XML content via relational queries.
Allows access to YouTube video platform analytics data through SQL queries, enabling retrieval of video metrics and channel information.
Enables querying Zendesk customer service platform data including tickets, customers, and support information through SQL operations.
Provides tools for querying Zoho business software suite data including CRM, projects, and business application information through SQL operations.
azure-active-directory-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for Azure Active Directory
: 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 Active Directory (beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data Azure Active Directory supported by the CData JDBC Driver for Azure Active Directory.
CData JDBC Driver connects to Azure Active Directory by exposing them as relational SQL models.
This server wraps that driver and makes Azure Active Directory 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/azureactivedirectory/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 Active Directory\
- (Mac/Linux)
/Applications/CData JDBC Driver for Azure Active Directory/
- (Windows)
- Run the command
java -jar cdata.jdbc.azuread.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.azuread.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-active-directory.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.azuread.AzureADDriver)
- 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_active_directory_get_tables
azure_active_directory_get_columns
azure_active_directory_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 Active Directory MCP Server by CData
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