Enables querying of ADP human resources and payroll data through relational SQL models.
Allows querying of Airtable databases and records through relational SQL models.
Enables querying of Amazon DynamoDB databases through relational SQL models.
Provides access to files and data stored in Amazon S3 buckets through relational SQL models.
Allows querying of Asana projects, tasks and workspaces through relational SQL models.
Enables querying of Basecamp projects, tasks and resources through relational SQL models.
Allows querying of BigCommerce store data including products, orders and customers through relational SQL models.
Provides access to Bitbucket repositories, pull requests and issues through relational SQL models.
Enables querying of Box file storage data through relational SQL models.
Allows querying of Confluence pages, spaces and content through relational SQL models.
Provides access to Couchbase database data through relational SQL models.
Enables querying of Databricks data through relational SQL models.
Allows querying of Dropbox files and folder data through relational SQL models.
Provides access to eBay marketplace data through relational SQL models.
Enables querying of Elasticsearch indices and documents through relational SQL models.
Allows querying of EnterpriseDB database systems through relational SQL models.
Provides access to Facebook social media data through relational SQL models.
Enables querying of GitHub repositories, issues and pull requests through relational SQL models.
Allows querying of Gmail email data through relational SQL models.
Provides access to Google Ads campaign and performance data through relational SQL models.
Enables querying of Google Analytics website performance data through relational SQL models.
Allows querying of Google Calendar events and schedules through relational SQL models.
Provides access to Google Campaign Manager 360 advertising data through relational SQL models.
Enables querying of Google Cloud Storage bucket data through relational SQL models.
Allows querying of Google Drive files and folders through relational SQL models.
Provides access to Google Sheets spreadsheet data through relational SQL models.
Enables querying of GraphQL APIs through relational SQL models.
Allows querying of Greenhouse recruitment and applicant tracking data through relational SQL models.
Provides access to HubSpot marketing, sales and CRM data through relational SQL models.
Enables querying of Instagram social media data through relational SQL models.
Allows querying of Jira projects, issues and workflows through relational SQL models.
Enables querying of MailChimp email marketing campaigns and subscriber data through relational SQL models.
Allows querying of MariaDB databases through relational SQL models.
Provides access to MongoDB database collections and documents through relational SQL models.
Enables querying of MYOB AccountRight accounting data through relational SQL models.
Allows querying of MySQL databases through relational SQL models.
Provides access to Neo4J graph database data through relational SQL models.
Enables querying of Odoo ERP system data through relational SQL models.
Allows querying of Okta identity management data through relational SQL models.
Provides access to PayPal payment transaction data through relational SQL models.
Enables querying of Pinterest social media data through relational SQL models.
Allows querying of PostgreSQL databases through relational SQL models.
Provides access to Presto distributed SQL query engine data through relational SQL models.
Enables querying of QuickBooks accounting data through relational SQL models.
Allows querying of Redis database data through relational SQL models.
Provides access to RSS feed data through relational SQL models.
Enables querying of Sage accounting systems data through relational SQL models.
Allows querying of Salesforce CRM data including contacts, accounts, opportunities and custom objects through relational SQL models.
Provides access to SAP ERP system data through relational SQL models.
Enables querying of SendGrid email service data through relational SQL models.
Allows querying of Shopify e-commerce store data through relational SQL models.
Provides access to SingleStore database data through relational SQL models.
Enables querying of Slack workspace, channel and message data through relational SQL models.
Allows querying of Snapchat Ads data through relational SQL models.
Provides access to Snowflake data warehouse information through relational SQL models.
Enables querying of Splunk log and machine data through relational SQL models.
Allows querying of Square payment and point-of-sale data through relational SQL models.
Provides access to Stripe payment processing data through relational SQL models.
Enables querying of SurveyMonkey survey data and responses through relational SQL models.
Allows querying of Teradata database systems through relational SQL models.
Provides access to Trello boards, cards and lists through relational SQL models.
Enables querying of Trino distributed SQL query engine data through relational SQL models.
Allows querying of Twilio communication platform data through relational SQL models.
Provides access to WooCommerce store data through relational SQL models.
Enables querying of WordPress site content including posts, pages and users through relational SQL models.
Allows querying of Xero accounting data through relational SQL models.
Provides access to XML data sources through relational SQL models.
Enables querying of YouTube Analytics data through relational SQL models.
Allows querying of Zendesk customer service platform data through relational SQL models.
Provides access to various Zoho applications including Zoho CRM, Books, Inventory and Projects through relational SQL models.
workday-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for Workday
: 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 Workday (beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data Workday supported by the CData JDBC Driver for Workday.
CData JDBC Driver connects to Workday by exposing them as relational SQL models.
This server wraps that driver and makes Workday 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/workday/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 Workday\
- (Mac/Linux)
/Applications/CData JDBC Driver for Workday/
- (Windows)
- Run the command
java -jar cdata.jdbc.workday.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.workday.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.workday.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.workday.WorkdayDriver)
- 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
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.
Workday MCP Server by CData
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