Enables querying and retrieving live data from Amazon DynamoDB through SQL interfaces.
Provides access to data stored in Amazon S3 buckets through SQL queries.
Allows querying Asana project and task data through SQL interfaces.
Enables access to Basecamp project management data through SQL queries.
Provides SQL-based access to BigCommerce e-commerce platform data.
Allows querying Bitbucket repository and project data through SQL interfaces.
Enables access to Box cloud storage data through SQL queries.
Provides SQL-based access to Confluence workspace and page data.
Allows querying Couchbase NoSQL database data through SQL interfaces.
Enables access to Databricks data and analytics through SQL queries.
Provides SQL-based access to Dropbox cloud storage files and folders.
Allows querying eBay marketplace data through SQL interfaces.
Enables access to Elasticsearch data through SQL queries.
Provides SQL-based access to EnterpriseDB database instances.
Allows querying Facebook social media data through SQL interfaces.
Enables access to GitHub repository and project data through SQL queries.
Provides SQL-based access to Gmail email data.
Allows querying Google Ads campaign and performance data through SQL interfaces.
Enables access to Google Analytics website performance data through SQL queries.
Provides SQL-based access to Google Calendar events and schedules.
Allows querying Google Campaign Manager 360 advertising data through SQL interfaces.
Enables access to Google Cloud Storage data through SQL queries.
Provides SQL-based access to Google Drive files and folders.
Allows querying Google Sheets spreadsheet data through SQL interfaces.
Enables access to GraphQL API data through SQL queries.
Provides SQL-based access to Greenhouse recruitment and hiring data.
Allows querying Apache Hive data warehousing data through SQL interfaces.
Enables access to HubSpot CRM and marketing data through SQL queries.
Provides SQL-based access to Instagram social media data.
Allows querying Jira project and issue data through SQL interfaces.
Provides SQL-based access to MailChimp email marketing data.
Allows querying MariaDB database data through SQL interfaces.
Enables access to MongoDB NoSQL database data through SQL queries.
Provides SQL-based access to MYOB AccountRight financial data.
Allows querying MySQL database data through SQL interfaces.
Enables access to Neo4J graph database data through SQL queries.
Provides SQL-based access to Odoo ERP and business application data.
Allows querying Okta identity management data through SQL interfaces.
Enables access to PayPal payment and transaction data through SQL queries.
Provides SQL-based access to Pinterest social media data.
Allows querying PostgreSQL database data through SQL interfaces.
Enables access to Presto distributed SQL query engine data through SQL queries.
Provides SQL-based access to QuickBooks accounting and financial data.
Allows querying Redis in-memory data structure store data through SQL interfaces.
Enables access to RSS feed data through SQL queries.
Provides SQL-based access to Sage accounting and business management data.
Allows querying Salesforce CRM data through SQL interfaces.
Enables access to SAP ERP and business application data through SQL queries.
Provides SQL-based access to SendGrid email delivery and marketing data.
Allows querying Shopify e-commerce platform data through SQL interfaces.
Enables access to SingleStore database data through SQL queries.
Provides SQL-based access to Slack messaging and workspace data.
Allows querying Snapchat Ads data through SQL interfaces.
Enables access to Snowflake data warehouse data through SQL queries.
Provides SQL-based access to Splunk data and analytics.
Allows querying Square payment and business management data through SQL interfaces.
Enables access to Stripe payment processing data through SQL queries.
Provides SQL-based access to SurveyMonkey survey and response data.
Allows querying Teradata database data through SQL interfaces.
Enables access to Trello project management data through SQL queries.
Provides SQL-based access to Trino distributed SQL query engine data.
Allows querying Twilio communication API data through SQL interfaces.
Enables access to WooCommerce e-commerce platform data through SQL queries.
Provides SQL-based access to WordPress CMS data.
Allows querying Xero accounting and financial data through SQL interfaces.
Enables access to XML data sources through SQL queries.
Provides SQL-based access to YouTube Analytics data.
Allows querying Zendesk customer service and support data through SQL interfaces.
Enables access to Zoho business application data including CRM, Books, Inventory, and Projects through SQL queries.
amazon-athena-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for Amazon Athena
: 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 Amazon Athena (beta)](https://www.cdata.com/download/download.aspx?sku=FKZK-V &type=beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data Amazon Athena supported by the CData JDBC Driver for Amazon Athena.
CData JDBC Driver connects to Amazon Athena by exposing them as relational SQL models.
This server wraps that driver and makes Amazon Athena 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/athena/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 Amazon Athena\
- (Mac/Linux)
/Applications/CData JDBC Driver for Amazon Athena/
- (Windows)
- Run the command
java -jar cdata.jdbc.amazonathena.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.amazonathena.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.amazon-athena.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.amazonathena.AmazonAthenaDriver)
- 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.
Amazon Athena MCP Server by CData
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