Provides access to SAS Data Sets containing ADP data, allowing for retrieval of information through SQL queries.
Enables querying of SAS Data Sets containing Airtable data using SQL.
Allows retrieval of SAS Data Sets containing Amazon DynamoDB data via SQL queries.
Provides access to SAS Data Sets stored in or containing Amazon S3 data through SQL queries.
Enables querying of SAS Data Sets containing Asana data using SQL.
Allows retrieval of SAS Data Sets containing Basecamp data via SQL queries.
Provides access to SAS Data Sets containing BigCommerce data through SQL queries.
Enables querying of SAS Data Sets containing Bitbucket data using SQL.
Allows retrieval of SAS Data Sets containing Box data via SQL queries.
Provides access to SAS Data Sets containing Confluence data through SQL queries.
Enables querying of SAS Data Sets containing Couchbase data using SQL.
Allows retrieval of SAS Data Sets containing Databricks data via SQL queries.
Provides access to SAS Data Sets containing Dropbox data through SQL queries.
Enables querying of SAS Data Sets containing eBay data using SQL.
Allows retrieval of SAS Data Sets containing Elasticsearch data via SQL queries.
Provides access to SAS Data Sets containing EnterpriseDB data through SQL queries.
Enables querying of SAS Data Sets containing Facebook data using SQL.
Allows retrieval of SAS Data Sets containing GitHub data via SQL queries.
Provides access to SAS Data Sets containing Gmail data through SQL queries.
Enables querying of SAS Data Sets containing Google Ads data using SQL.
Allows retrieval of SAS Data Sets containing Google Analytics data via SQL queries.
Provides access to SAS Data Sets containing Google Calendar data through SQL queries.
Enables querying of SAS Data Sets containing Google Campaign Manager 360 data using SQL.
Allows retrieval of SAS Data Sets containing Google Cloud Storage data via SQL queries.
Provides access to SAS Data Sets containing Google Drive data through SQL queries.
Enables querying of SAS Data Sets containing Google Sheets data using SQL.
Allows retrieval of SAS Data Sets containing GraphQL data via SQL queries.
Provides access to SAS Data Sets containing Greenhouse data through SQL queries.
Enables querying of SAS Data Sets containing HubSpot data using SQL.
Allows retrieval of SAS Data Sets containing Instagram data via SQL queries.
Provides access to SAS Data Sets containing Jira data through SQL queries.
Allows retrieval of SAS Data Sets containing MailChimp data via SQL queries.
Provides access to SAS Data Sets containing MariaDB data through SQL queries.
Enables querying of SAS Data Sets containing MongoDB data using SQL.
Allows retrieval of SAS Data Sets containing MYOB AccountRight data via SQL queries.
Provides access to SAS Data Sets containing MySQL data through SQL queries.
Enables querying of SAS Data Sets containing Neo4J data using SQL.
Allows retrieval of SAS Data Sets containing Odoo data via SQL queries.
Provides access to SAS Data Sets containing Okta data through SQL queries.
Enables querying of SAS Data Sets containing PayPal data using SQL.
Allows retrieval of SAS Data Sets containing Pinterest data via SQL queries.
Provides access to SAS Data Sets containing PostgreSQL data through SQL queries.
Enables querying of SAS Data Sets containing Presto data using SQL.
Allows retrieval of SAS Data Sets containing QuickBooks data via SQL queries.
Provides access to SAS Data Sets containing Redis data through SQL queries.
Enables querying of SAS Data Sets containing RSS data using SQL.
Allows retrieval of SAS Data Sets containing Sage data via SQL queries.
Provides access to SAS Data Sets containing Salesforce data through SQL queries.
Enables querying of SAS Data Sets containing SAP data using SQL.
Allows retrieval of SAS Data Sets containing SendGrid data via SQL queries.
Provides access to SAS Data Sets containing Shopify data through SQL queries.
Enables querying of SAS Data Sets containing SingleStore data using SQL.
Allows retrieval of SAS Data Sets containing Slack data via SQL queries.
Provides access to SAS Data Sets containing Snapchat Ads data through SQL queries.
Enables querying of SAS Data Sets containing Snowflake data using SQL.
Allows retrieval of SAS Data Sets containing Splunk data via SQL queries.
Provides access to SAS Data Sets containing Square data through SQL queries.
Enables querying of SAS Data Sets containing Stripe data using SQL.
Allows retrieval of SAS Data Sets containing SurveyMonkey data via SQL queries.
Provides access to SAS Data Sets containing Teradata data through SQL queries.
Enables querying of SAS Data Sets containing Trello data using SQL.
Allows retrieval of SAS Data Sets containing Trino data via SQL queries.
Provides access to SAS Data Sets containing Twilio data through SQL queries.
Enables querying of SAS Data Sets containing WooCommerce data using SQL.
Allows retrieval of SAS Data Sets containing WordPress data via SQL queries.
Provides access to SAS Data Sets containing Xero data through SQL queries.
Enables querying of SAS Data Sets containing XML data using SQL.
Allows retrieval of SAS Data Sets containing YouTube Analytics data via SQL queries.
Provides access to SAS Data Sets containing Zendesk data through SQL queries.
Enables querying of SAS Data Sets containing Zoho data using SQL.
sas-data-sets-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for SAS Data Sets
:heavy_exclamation_mark: 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 Data Sets (beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data SAS Data Sets supported by the CData JDBC Driver for SAS Data Sets.
CData JDBC Driver connects to SAS Data Sets by exposing them as relational SQL models.
This server wraps that driver and makes SAS Data Sets 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/sasdatasets/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 Data Sets\
- (Mac/Linux)
/Applications/CData JDBC Driver for SAS Data Sets/
- (Windows)
- Run the command
java -jar cdata.jdbc.sasdatasets.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.sasdatasets.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-data-sets.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.sasdatasets.SASDataSetsDriver)
- 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
SAS Data Sets MCP Server by CData
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