Enables access to ADP data through a relational SQL interface.
Allows querying Airtable data using a relational SQL interface.
Provides SQL-based access to Amazon DynamoDB NoSQL database data.
Enables SQL-based access to data stored in Amazon S3 buckets.
Allows querying Asana project management data through SQL.
Provides SQL interface for Basecamp project management data.
Enables SQL-based access to BigCommerce e-commerce platform data.
Allows querying Bitbucket repository and project data using SQL.
Provides SQL interface for accessing Box cloud storage data.
Allows querying Confluence wiki data through a SQL interface.
Enables SQL-based access to Couchbase NoSQL database data.
Provides SQL interface for accessing Databricks data.
Allows querying Dropbox cloud storage data through SQL.
Enables SQL-based access to eBay marketplace data.
Provides SQL interface for querying Elasticsearch data.
Allows SQL-based access to EnterpriseDB data.
Enables querying Facebook social media data through SQL.
Provides SQL interface for accessing GitHub repository and project data.
Allows SQL-based queries of Gmail email data.
Enables SQL-based access to Google Ads advertising data.
Provides SQL interface for querying Google Analytics website data.
Allows SQL-based access to Google Calendar events and data.
Enables querying Google Campaign Manager 360 advertising data through SQL.
Provides SQL interface for accessing Google Cloud Storage data.
Allows SQL-based queries of Google Drive files and folders.
Enables SQL-based access to Google Sheets spreadsheet data.
Provides SQL interface for querying GraphQL APIs.
Allows SQL-based access to Greenhouse recruitment platform data.
Enables querying HubSpot CRM data through SQL.
Provides SQL interface for accessing Instagram social media data.
Allows SQL-based queries of Jira project management data.
Provides SQL interface for querying MailChimp email marketing data.
Allows SQL-based access to MariaDB database data.
Enables querying MongoDB NoSQL database data through SQL.
Provides SQL interface for accessing MYOB accounting data.
Allows native SQL queries against MySQL databases.
Enables SQL-based access to Neo4j graph database data.
Provides SQL interface for querying Odoo ERP system data.
Allows SQL-based queries of Okta identity management data.
Enables SQL-based access to PayPal payment data.
Provides SQL interface for accessing Pinterest social media data.
Allows native SQL queries against PostgreSQL databases.
Enables SQL-based access to Presto distributed query engine data.
Provides SQL interface for querying QuickBooks accounting data.
Allows SQL-based queries of Redis key-value store data.
Enables SQL-based access to RSS feed data.
Provides SQL interface for accessing Sage accounting data.
Allows SQL-based queries of Salesforce CRM data.
Enables querying SAP ERP data through SQL.
Provides SQL interface for accessing SendGrid email data.
Allows SQL-based queries of Shopify e-commerce platform data.
Enables SQL-based access to SingleStore database data.
Provides SQL interface for querying Slack messaging data.
Allows SQL-based access to Snapchat Ads data.
Enables querying Snowflake data warehouse through SQL.
Provides SQL interface for accessing Splunk log and machine data.
Allows SQL-based queries of Square payment processing data.
Enables SQL-based access to Stripe payment processing data.
Provides SQL interface for querying SurveyMonkey survey data.
Allows SQL-based access to Teradata database data.
Enables querying Trello project management data through SQL.
Provides SQL interface for accessing Trino distributed query engine data.
Allows SQL-based queries of Twilio communication platform data.
Enables SQL-based access to WooCommerce e-commerce platform data.
Provides SQL interface for querying WordPress CMS data.
Allows SQL-based access to Xero accounting data.
Enables SQL-based querying of XML data sources.
Provides SQL interface for accessing YouTube Analytics data.
Allows SQL-based queries of Zendesk customer service platform data.
Enables querying Zoho business applications data through SQL.
oracle-financials-cloud-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for Oracle Financials Cloud
: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 Oracle Financials Cloud (beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data Oracle Financials Cloud supported by the CData JDBC Driver for Oracle Financials Cloud.
CData JDBC Driver connects to Oracle Financials Cloud by exposing them as relational SQL models.
This server wraps that driver and makes Oracle Financials Cloud 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/oracleerp/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 Oracle Financials Cloud\
- (Mac/Linux)
/Applications/CData JDBC Driver for Oracle Financials Cloud/
- (Windows)
- Run the command
java -jar cdata.jdbc.oracleerp.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.oracleerp.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.oracle-financials-cloud.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.oracleerp.OracleERPDriver)
- 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
Oracle Financials Cloud MCP Server by CData
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