Provides access to ADP data through SQL queries, enabling retrieval of HR and payroll information
Enables querying and retrieving data from Airtable bases through SQL interface
Allows querying Amazon DynamoDB tables using SQL operations for NoSQL data retrieval
Provides SQL-based access to Amazon S3 bucket contents and metadata
Enables querying Asana project data, tasks, and team information through SQL interface
Provides access to Basecamp project management data through SQL queries
Allows querying BigCommerce store data including products, orders, and customer information
Enables access to Bitbucket repository data, commits, and project information through SQL
Provides SQL-based access to Box cloud storage files and folder metadata
Allows querying Confluence wiki content, pages, and space information
Enables SQL queries against Couchbase NoSQL database documents and collections
Provides access to Databricks data lake and analytics platform through SQL queries
Enables querying Dropbox file storage and metadata through SQL interface
Allows access to eBay marketplace data including listings, orders, and seller information
Provides SQL-based querying capabilities for Elasticsearch search and analytics data
Enables access to Facebook social media data and analytics through SQL queries
Allows querying GitHub repository data, issues, commits, and project information
Provides SQL-based access to Gmail email data and metadata
Enables querying Google Ads campaign performance data and advertising metrics
Allows access to Google Analytics web traffic and user behavior data through SQL
Provides SQL-based querying of Google Calendar events and scheduling data
Enables access to Google Campaign Manager 360 advertising campaign data
Allows SQL-based querying of Google Cloud Storage bucket contents and metadata
Provides access to Google Drive files and folder structure through SQL queries
Enables querying Google Sheets spreadsheet data through SQL interface
Provides SQL-based access to GraphQL API endpoints and schema data
Allows querying Greenhouse recruiting and applicant tracking system data
Enables access to HubSpot CRM data including contacts, deals, and marketing information
Provides SQL-based access to Instagram social media content and analytics data
Allows querying Jira project management data including issues, projects, and workflows
Provides access to MailChimp email marketing data including campaigns and subscriber information
Enables direct SQL querying of MariaDB database tables and data
Allows SQL-based access to MongoDB document database collections and data
Provides access to MYOB accounting and business management data through SQL queries
Enables direct SQL querying of MySQL database tables and data
Allows SQL-based access to Neo4j graph database nodes and relationships
Provides access to Odoo ERP system data including sales, inventory, and business processes
Enables querying Okta identity management data including users and access controls
Allows access to PayPal transaction and payment data through SQL queries
Provides SQL-based access to Pinterest social media content and analytics data
Enables direct SQL querying of PostgreSQL database tables and data
Allows SQL querying across distributed data sources through Presto query engine
Provides access to QuickBooks accounting data including transactions and financial records
Enables SQL-based querying of Redis in-memory data structures and cache data
Allows SQL-based access to RSS feed content and metadata
Provides access to Sage accounting and business management system data
Enables querying Salesforce CRM data including accounts, contacts, opportunities, and custom objects
Allows access to SAP enterprise software data across various business modules
Provides SQL-based access to SendGrid email delivery and marketing data
Enables querying Shopify e-commerce data including products, orders, and customer information
Allows direct SQL querying of SingleStore distributed database tables
Provides access to Slack workspace data including messages, channels, and user information
Enables SQL querying of Snowflake cloud data warehouse tables and analytics data
Allows SQL-based access to Splunk machine data and log analytics
Provides access to Square point-of-sale and payment processing data
Enables querying Stripe payment processing data including transactions and customer information
Allows access to SurveyMonkey survey data and response analytics through SQL
Enables direct SQL querying of Teradata enterprise data warehouse tables
Provides SQL-based access to Trello board data including cards, lists, and project information
Allows SQL querying across distributed data sources through Trino query engine
Enables access to Twilio communications data including messages and call logs
Provides access to WooCommerce e-commerce data including products, orders, and store analytics
Allows SQL-based querying of WordPress content management system data
Enables access to Xero accounting data including financial transactions and business records
Provides SQL-based querying capabilities for XML data sources and file formats
Allows access to YouTube video platform data and analytics through SQL queries
Enables querying Zendesk customer support data including tickets and user interactions
Provides access to Zoho business application suite data across CRM, projects, and other modules
sas-xpt-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for SAS xpt
: 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 SAS xpt (beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data SAS xpt supported by the CData JDBC Driver for SAS xpt.
CData JDBC Driver connects to SAS xpt by exposing them as relational SQL models.
This server wraps that driver and makes SAS xpt 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/sasxpt/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 SAS xpt\
- (Mac/Linux)
/Applications/CData JDBC Driver for SAS xpt/
- (Windows)
- Run the command
java -jar cdata.jdbc.sasxpt.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.sasxpt.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.sas-xpt.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.sasxpt.SASxptDriver)
- 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.
source_get_tables
source_get_columns
source_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.
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 SAS xpt (beta): https://www.cdata.com/download/download.aspx?sku=JXZK-V&type=beta
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