Enables access to ADP data through SQL-based models, supporting data querying capabilities.
Provides SQL-based access to Airtable data, supporting querying of tables and records.
Offers SQL-based querying for Amazon DynamoDB data, allowing access to NoSQL database information through relational models.
Enables SQL-based querying of Amazon S3 storage data, providing access to object storage contents.
Provides SQL-based access to Asana project management data, supporting querying of tasks and projects.
Enables SQL-based access to Basecamp project management data, supporting querying of projects and tasks.
Provides SQL-based access to BigCommerce e-commerce platform data, supporting querying of products, orders, and customers.
Enables SQL-based access to Bitbucket repository data, supporting querying of repositories, issues, and pull requests.
Provides SQL-based access to Box cloud storage data, supporting querying of files and folders.
Enables SQL-based access to Confluence wiki data, supporting querying of pages and spaces.
Provides SQL-based access to Couchbase NoSQL database data, supporting querying of documents and collections.
Enables SQL-based access to Databricks analytics platform data, supporting querying of datasets and analysis results.
Provides SQL-based access to Dropbox cloud storage data, supporting querying of files and folders.
Enables SQL-based access to eBay marketplace data, supporting querying of listings, sales, and account information.
Provides SQL-based access to Elasticsearch data, supporting querying of indices and documents.
Enables SQL-based access to EnterpriseDB database data, supporting querying of tables and records.
Provides SQL-based access to Facebook social media data, supporting querying of pages, posts, and engagement metrics.
Enables SQL-based access to GitHub repository data, supporting querying of repositories, issues, and pull requests.
Provides SQL-based access to Gmail email data, supporting querying of messages and labels.
Enables SQL-based access to Google Ads advertising data, supporting querying of campaigns, ad groups, and performance metrics.
Provides SQL-based access to Google Analytics website analytics data, supporting querying of traffic, conversion, and user metrics.
Enables SQL-based access to Google Calendar event data, supporting querying of appointments and schedules.
Provides SQL-based access to Google Campaign Manager 360 advertising data, supporting querying of campaigns and performance metrics.
Enables SQL-based access to Google Cloud Storage data, supporting querying of buckets and objects.
Provides SQL-based access to Google Drive storage data, supporting querying of files and folders.
Enables SQL-based access to Google Sheets spreadsheet data, supporting querying of worksheets and cell data.
Provides SQL-based access to GraphQL API data, supporting querying of schema and data elements.
Enables SQL-based access to Greenhouse recruitment data, supporting querying of candidates, jobs, and applications.
Provides SQL-based access to Hive data warehouse information, supporting querying of tables and data sets.
Enables SQL-based access to HubSpot CRM data, supporting querying of contacts, companies, and deals.
Provides SQL-based access to Instagram social media data, supporting querying of profiles, posts, and engagement metrics.
Enables SQL-based access to Jira project management data, supporting querying of issues, projects, and sprints.
Enables SQL-based access to MailChimp email marketing data, supporting querying of campaigns, lists, and subscribers.
Provides SQL-based access to MariaDB database data, supporting querying of tables and records.
Enables SQL-based access to MongoDB NoSQL database data, supporting querying of collections and documents.
Provides SQL-based access to MYOB AccountRight accounting data, supporting querying of financial records and transactions.
Enables SQL-based access to MySQL database data, supporting querying of tables and records.
Provides SQL-based access to Neo4J graph database data, supporting querying of nodes and relationships.
Enables SQL-based access to Odoo ERP system data, supporting querying of business objects and records.
Provides SQL-based access to Okta identity management data, supporting querying of users and authentication records.
Enables SQL-based access to PayPal payment data, supporting querying of transactions and account information.
Provides SQL-based access to Pinterest social media data, supporting querying of pins, boards, and engagement metrics.
Enables SQL-based access to PostgreSQL database data, supporting querying of tables and records.
Provides SQL-based access to Presto distributed query engine data, supporting querying of connected data sources.
Enables SQL-based access to QuickBooks accounting data, supporting querying of financial records and transactions.
Provides SQL-based access to Redis key-value store data, supporting querying of keys and values.
Enables SQL-based access to RSS feed data, supporting querying of feed items and content.
Provides SQL-based access to Sage accounting software data, supporting querying of financial records and transactions.
Enables SQL-based access to Salesforce CRM data, supporting querying of accounts, contacts, opportunities, and custom objects.
Provides SQL-based access to SAP ERP system data, supporting querying of business objects and records.
Enables SQL-based access to SendGrid email service data, supporting querying of email campaigns and statistics.
Provides SQL-based access to Shopify e-commerce platform data, supporting querying of products, orders, and customers.
Enables SQL-based access to SingleStore database data, supporting querying of tables and records.
Provides SQL-based access to Slack messaging data, supporting querying of channels, messages, and users.
Enables SQL-based access to Snapchat Ads data, supporting querying of ad campaigns and performance metrics.
Provides SQL-based access to Snowflake data warehouse data, supporting querying of tables and data sets.
Enables SQL-based access to Splunk log and machine data, supporting querying of events and analytics.
Provides SQL-based access to Square payment processing data, supporting querying of transactions and merchant information.
Enables SQL-based access to Stripe payment processing data, supporting querying of charges, customers, and subscriptions.
Provides SQL-based access to SurveyMonkey survey data, supporting querying of surveys, questions, and responses.
Enables SQL-based access to Teradata database data, supporting querying of tables and records.
Provides SQL-based access to Trello project management data, supporting querying of boards, lists, and cards.
Enables SQL-based access to Trino distributed query engine data, supporting querying of connected data sources.
Provides SQL-based access to Twilio communication service data, supporting querying of messages, calls, and account information.
Enables SQL-based access to WooCommerce e-commerce platform data, supporting querying of products, orders, and customers.
Provides SQL-based access to WordPress content management system data, supporting querying of posts, pages, and users.
Enables SQL-based access to Xero accounting software data, supporting querying of financial records and transactions.
Provides SQL-based access to XML data files, supporting querying of document elements and structures.
Enables SQL-based access to YouTube Analytics data, supporting querying of video performance and channel metrics.
Provides SQL-based access to Zendesk customer support data, supporting querying of tickets, users, and interactions.
Enables SQL-based access to Zoho business application data, supporting querying of CRM, Books, Inventory, and Projects information.
adobe-commerce-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for Adobe Commerce
: 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 Adobe Commerce (beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data Adobe Commerce supported by the CData JDBC Driver for Adobe Commerce.
CData JDBC Driver connects to Adobe Commerce by exposing them as relational SQL models.
This server wraps that driver and makes Adobe Commerce 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/adobecommerce/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 Adobe Commerce\
- (Mac/Linux)
/Applications/CData JDBC Driver for Adobe Commerce/
- (Windows)
- Run the command
java -jar cdata.jdbc.adobecommerce.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.adobecommerce.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.adobe-commerce.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.adobecommerce.AdobeCommerceDriver)
- 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
This read-only MCP Server allows you to connect to Adobe Commerce data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp
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