Enables querying and retrieval of ADP data through SQL, exposing ADP as a relational model.
Allows querying Airtable bases and tables through SQL queries, exposing Airtable data as relational tables.
Provides SQL-based access to Amazon DynamoDB data, enabling querying of NoSQL database content through a relational interface.
Enables SQL queries against Amazon S3 stored data, treating S3 objects as queryable tables.
Allows querying Asana projects, tasks and workspaces through SQL, providing relational access to Asana data.
Provides SQL query capabilities for Basecamp projects, to-dos, and messages, exposing Basecamp data as relational tables.
Enables SQL access to BigCommerce store data, including products, orders, and customers.
Allows querying Bitbucket repositories, issues, and pull requests through SQL queries.
Provides SQL-based access to Box files, folders, and metadata, presenting Box content as queryable tables.
Enables SQL queries against Confluence spaces, pages, and content, making Confluence data available as relational tables.
Provides relational SQL access to Couchbase NoSQL database documents and collections.
Allows querying Databricks tables and data through SQL, exposing Databricks data as relational tables.
Enables SQL-based querying of Dropbox files, folders, and metadata.
Provides SQL access to eBay marketplace data, including listings, orders, and inventory.
Allows SQL-based queries against Elasticsearch indices and documents, transforming Elasticsearch data into a relational format.
Enables SQL access to EnterpriseDB databases, treating EnterpriseDB content as relational tables.
Provides SQL query capabilities for Facebook data, including posts, pages, and engagement metrics.
Allows querying GitHub repositories, issues, pull requests, and other GitHub data through SQL.
Enables SQL queries against Gmail emails, labels, and attachments, presenting email data in a relational format.
Provides SQL access to Google Ads campaign data, ad performance, and metrics.
Allows querying Google Analytics data through SQL, exposing website analytics as relational tables.
Enables SQL-based access to Google Calendar events, calendars, and attendees.
Provides SQL query capabilities for Google Campaign Manager 360 data, including campaigns, ads, and performance metrics.
Allows SQL queries against Google Cloud Storage objects and metadata.
Enables SQL-based querying of Google Drive files, folders, and metadata.
Provides SQL access to Google Sheets data, treating spreadsheets as relational tables.
Allows querying GraphQL APIs through SQL, exposing GraphQL data as relational tables.
Enables SQL queries against Greenhouse recruitment data, including candidates, jobs, and applications.
Provides SQL access to Apache Hive data warehouses, exposing Hive tables and views as relational SQL models.
Allows querying HubSpot CRM data through SQL, including contacts, companies, and deals.
Enables SQL-based access to Instagram data, including posts, comments, and engagement metrics.
Provides SQL query capabilities for Jira issues, projects, and workflows, presenting Jira data in a relational format.
Enables SQL-based querying of MailChimp campaigns, subscribers, and lists.
Provides SQL access to MariaDB databases, exposing tables and views through a relational interface.
Allows querying MongoDB collections and documents through SQL, transforming MongoDB data into a relational format.
Enables SQL queries against MYOB AccountRight data, including accounts, invoices, and contacts.
Provides SQL access to MySQL databases, allowing queries against tables and views.
Allows querying Neo4J graph databases through SQL, transforming graph data into a relational format.
Enables SQL-based access to Odoo ERP data, including customers, products, and sales.
Provides SQL query capabilities for Okta identity data, including users, groups, and applications.
Allows SQL queries against PayPal transaction data, including payments, refunds, and balances.
Enables SQL-based querying of Pinterest pins, boards, and analytics data.
Provides SQL access to PostgreSQL databases, exposing tables and views.
Allows querying Presto SQL engine data sources through SQL, providing a relational interface.
Enables SQL queries against QuickBooks financial data, including accounts, invoices, and customers.
Provides SQL-based access to Redis key-value stores, transforming Redis data into a relational format.
Allows querying RSS feeds through SQL, treating feed items as relational data.
Enables SQL-based access to Sage accounting data, including multiple Sage products like Sage 200, 300, 50 UK, and Cloud Accounting.
Provides SQL query capabilities for Salesforce CRM data, including accounts, opportunities, and contacts.
Allows querying SAP systems through SQL, including various SAP products like SAP ERP, Business One, and SuccessFactors.
Enables SQL queries against SendGrid email data, including sent emails, statistics, and templates.
Provides SQL access to Shopify store data, including products, orders, and customers.
Allows SQL queries against SingleStore databases, exposing tables and views.
Enables SQL-based querying of Slack channels, messages, and users.
Provides SQL query capabilities for Snapchat Ads data, including campaigns and performance metrics.
Allows querying Snowflake data warehouse through SQL, exposing Snowflake schemas, tables, and views.
Enables SQL-based access to Splunk logs and events, transforming Splunk data into a relational format.
Provides SQL access to Square payment and point-of-sale data, including transactions, items, and customers.
Allows SQL queries against Stripe payment data, including charges, customers, and subscriptions.
Enables SQL-based querying of SurveyMonkey surveys, responses, and analytics.
Provides SQL query capabilities for Teradata databases, exposing tables and views.
Allows querying Trello boards, cards, and lists through SQL, presenting Trello data in a relational format.
Enables SQL-based access to Trino (formerly PrestoSQL) distributed query engine data sources.
Provides SQL access to Twilio communication data, including calls, messages, and usage records.
Allows SQL queries against WooCommerce store data, including products, orders, and customers.
Enables SQL-based querying of WordPress content, including posts, pages, and users.
Provides SQL query capabilities for Xero accounting data, including invoices, contacts, and accounts.
Allows querying XML data sources through SQL, transforming XML structures into relational tables.
Enables SQL-based access to YouTube Analytics data, including video performance and engagement metrics.
Provides SQL access to Zendesk support ticket data, including tickets, users, and organizations.
Allows querying Zoho applications through SQL, including Zoho CRM, Books, Creator, Inventory, and Projects.
ssas-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for SQL Server Analysis Services
: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 SQL Server Analysis Services (beta)](https://www.cdata.com/download/download.aspx?sku=FYZK-V &type=beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data SQL Server Analysis Services supported by the CData JDBC Driver for SQL Server Analysis Services.
CData JDBC Driver connects to SQL Server Analysis Services by exposing them as relational SQL models.
This server wraps that driver and makes SQL Server Analysis Services 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/ssas/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 SQL Server Analysis Services\
- (Mac/Linux)
/Applications/CData JDBC Driver for SQL Server Analysis Services/
- (Windows)
- Run the command
java -jar cdata.jdbc.ssas.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.ssas.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.ssas.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.ssas.SSASDriver)
- 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.
SQL Server Analysis Services MCP Server by CData
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