Provides access to ADP data through a SQL interface, allowing querying of tables and columns from ADP systems.
Enables querying Airtable databases through a SQL interface, providing access to tables and their data.
Allows querying Amazon DynamoDB databases through a SQL interface, providing read access to DynamoDB tables and data.
Provides SQL-based access to data stored in Amazon S3 buckets, enabling queries against S3 content.
Enables querying Asana project management data through a SQL interface, providing access to tasks, projects, and other Asana data.
Provides SQL-based access to Basecamp project management data, allowing queries of projects, tasks, and other Basecamp information.
Allows querying BigCommerce e-commerce platform data through SQL, providing access to products, orders, and other store data.
Enables SQL-based access to Bitbucket repositories, allowing queries of code repositories and related metadata.
Provides access to Box cloud storage data through a SQL interface, allowing queries against files and folders stored in Box.
Enables querying Confluence wiki content through SQL, providing access to pages, spaces, and other Confluence data.
Provides SQL-based access to Couchbase NoSQL databases, allowing queries against Couchbase data.
Allows querying Databricks data through a SQL interface, providing access to tables and data in Databricks environments.
Enables SQL-based access to Dropbox cloud storage, allowing queries against files and folders stored in Dropbox.
Provides access to eBay marketplace data through SQL, allowing queries of listings, sales, and other eBay information.
Enables SQL-based querying of Elasticsearch indices, providing access to documents and data stored in Elasticsearch.
Allows querying EnterpriseDB PostgreSQL databases through SQL, providing access to tables and data.
Provides SQL-based access to Facebook data, enabling queries against pages, posts, and other Facebook information.
Enables querying GitHub repositories and related data through SQL, providing access to code repositories and metadata.
Allows SQL-based access to Gmail emails and contacts, enabling queries against email data.
Provides access to Google Ads campaign data through SQL, allowing queries of ad performance and campaign metrics.
Enables SQL-based querying of Google Analytics website data, providing access to website metrics and visitor information.
Allows querying Google Calendar events and schedules through SQL, providing access to calendar data.
Provides SQL-based access to Google Campaign Manager 360 data, enabling queries against advertising campaigns and performance metrics.
Enables querying Google Cloud Storage data through SQL, providing access to files and objects stored in GCS buckets.
Allows SQL-based access to Google Drive files and folders, enabling queries against content stored in Google Drive.
Provides access to Google Sheets spreadsheet data through SQL, allowing queries against spreadsheet content.
Enables querying GraphQL APIs through a SQL interface, providing access to data exposed via GraphQL endpoints.
Allows SQL-based access to Greenhouse recruitment data, enabling queries against job listings, candidates, and hiring processes.
Provides access to Apache Hive data warehouses through SQL, allowing queries against Hive tables and data.
Enables SQL-based querying of HubSpot CRM data, providing access to contacts, deals, and marketing information.
Allows querying Instagram social media data through SQL, providing access to posts, engagement metrics, and other Instagram data.
Provides SQL-based access to Jira project management data, enabling queries against issues, projects, and sprints.
Allows SQL-based access to MailChimp email marketing data, providing queries against campaigns, subscribers, and email metrics.
Provides access to MariaDB databases through SQL, enabling queries against MariaDB tables and data.
Enables SQL-based querying of MongoDB NoSQL databases, providing relational access to MongoDB collections.
Allows querying MYOB AccountRight accounting data through SQL, providing access to financial records and transactions.
Provides SQL-based access to MySQL databases, enabling queries against MySQL tables and data.
Enables querying Neo4j graph databases through SQL, providing access to graph data in a relational format.
Allows SQL-based access to Odoo ERP data, providing queries against business modules and related information.
Provides access to Okta identity management data through SQL, enabling queries against users, groups, and authentication data.
Enables SQL-based querying of PayPal payment data, providing access to transactions, balances, and payment information.
Allows querying Pinterest social media data through SQL, providing access to pins, boards, and engagement metrics.
Provides SQL-based access to PostgreSQL databases, enabling queries against PostgreSQL tables and data.
Enables querying Presto distributed SQL query engine data through a SQL interface, providing access to various data sources.
Allows SQL-based access to QuickBooks accounting data, providing queries against financial records and transactions.
Provides access to Redis key-value store data through SQL, enabling relational queries against Redis data.
Enables SQL-based querying of RSS feeds, providing structured access to feed content and metadata.
Allows querying Sage accounting software data through SQL, providing access to financial records across multiple Sage products.
Provides SQL-based access to Salesforce CRM data, enabling queries against contacts, opportunities, accounts, and other Salesforce objects.
Enables querying SAP ERP data through SQL, providing access to business processes and related information across SAP products.
Allows SQL-based access to SendGrid email service data, providing queries against email campaigns, statistics, and contact information.
Provides access to Shopify e-commerce platform data through SQL, enabling queries against products, orders, and other store information.
Enables SQL-based querying of SingleStore (formerly MemSQL) databases, providing access to tables and data.
Allows querying Slack messaging data through SQL, providing access to channels, messages, and users.
Provides SQL-based access to Snapchat Ads data, enabling queries against ad campaigns and performance metrics.
Enables querying Snowflake data warehouse through SQL, providing access to tables and data stored in Snowflake.
Allows SQL-based access to Splunk log and machine data, providing queries against log entries and analytics.
Provides access to Square payment processing data through SQL, enabling queries against transactions, customers, and inventory.
Enables SQL-based querying of Stripe payment data, providing access to charges, customers, and subscription information.
Allows querying SurveyMonkey survey data through SQL, providing access to surveys, responses, and analytics.
Provides SQL-based access to Teradata databases, enabling queries against Teradata tables and data.
Enables querying Trello project management data through SQL, providing access to boards, cards, and lists.
Allows SQL-based access to Trino (formerly PrestoSQL) distributed query engine, providing queries against various data sources.
Provides access to Twilio communication platform data through SQL, enabling queries against messages, calls, and other communication records.
Enables SQL-based querying of WooCommerce e-commerce data, providing access to products, orders, and customers.
Allows querying WordPress CMS data through SQL, providing access to posts, pages, comments, and other WordPress content.
Provides SQL-based access to Xero accounting data, enabling queries against financial records and transactions.
Enables querying XML data sources through SQL, providing structured access to XML content.
Allows SQL-based access to YouTube Analytics data, providing queries against video performance metrics and channel statistics.
Provides access to Zendesk customer service data through SQL, enabling queries against tickets, users, and support interactions.
Enables SQL-based querying of Zoho applications data, including Zoho CRM, Books, Inventory, and Projects information.
sybase-iq-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for Sybase IQ
: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 Sybase IQ (beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data Sybase IQ supported by the CData JDBC Driver for Sybase IQ.
CData JDBC Driver connects to Sybase IQ by exposing them as relational SQL models.
This server wraps that driver and makes Sybase IQ 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/sybaseiq/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 Sybase IQ\
- (Mac/Linux)
/Applications/CData JDBC Driver for Sybase IQ/
- (Windows)
- Run the command
java -jar cdata.jdbc.sybaseiq.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.sybaseiq.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.sybase-iq.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.sybaseiq.SybaseIQDriver)
- 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
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