Enables access to ADP data through SQL queries, allowing retrieval of human resources and payroll information.
Provides SQL-based access to Airtable bases, tables, and records.
Enables SQL-based querying of Amazon DynamoDB tables and items.
Allows querying data stored in Amazon S3 buckets using SQL.
Provides access to Asana projects, tasks, and users through SQL queries.
Enables SQL-based access to Basecamp projects, tasks, and resources.
Provides SQL access to BigCommerce store data including products, orders, and customers.
Allows querying Bitbucket repositories, pull requests, and issues using SQL.
Enables SQL-based access to Box files, folders, and users.
Provides SQL-based access to Confluence spaces, pages, and content.
Enables SQL querying of Couchbase NoSQL database.
Provides SQL access to Databricks tables and data sources.
Allows SQL-based querying of Dropbox files, folders, and metadata.
Provides SQL access to eBay listings, orders, and store data.
Enables SQL-based querying of Elasticsearch indices and documents.
Provides SQL access to EnterpriseDB databases and tables.
Allows querying Facebook pages, posts, and engagement data using SQL.
Provides SQL-based access to GitHub repositories, issues, and pull requests.
Enables SQL-based access to Gmail messages, labels, and attachments.
Provides SQL access to Google Ads campaigns, ad groups, and performance metrics.
Allows querying Google Analytics reporting data using SQL.
Enables SQL-based access to Google Calendar events and calendars.
Provides SQL access to Google Campaign Manager 360 campaigns and reporting data.
Allows SQL-based querying of files and objects in Google Cloud Storage buckets.
Enables SQL-based access to Google Drive files and folders.
Provides SQL access to Google Sheets data and metadata.
Allows querying GraphQL APIs using SQL syntax.
Provides SQL-based access to Greenhouse applicants, jobs, and recruiting data.
Enables SQL-based access to HubSpot contacts, companies, deals, and marketing data.
Provides SQL access to Instagram posts, comments, and engagement metrics.
Allows querying Jira projects, issues, and sprints using SQL.
Provides SQL access to MailChimp lists, campaigns, and subscriber data.
Enables SQL-based access to MariaDB databases and tables.
Provides SQL-like access to MongoDB collections and documents.
Allows querying MYOB AccountRight accounting data using SQL.
Enables native SQL access to MySQL databases and tables.
Provides SQL-based access to Neo4J graph databases and nodes.
Allows querying Odoo ERP modules and data using SQL.
Enables SQL-based access to Okta users, groups, and applications.
Provides SQL access to PayPal transactions, payouts, and customer data.
Allows querying Pinterest boards, pins, and engagement data using SQL.
Enables native SQL access to PostgreSQL databases and tables.
Provides SQL access to data sources connected through Presto.
Allows querying QuickBooks accounting data using SQL.
Enables SQL-like access to Redis key-value stores.
Provides SQL-based access to RSS feed content and metadata.
Allows querying Sage accounting data using SQL across various Sage products.
Provides SQL access to Salesforce objects, records, and relationships.
Enables SQL-based access to SAP systems, tables, and business objects.
Allows querying SendGrid email data, templates, and statistics using SQL.
Provides SQL access to Shopify products, orders, customers, and store data.
Enables SQL access to SingleStore databases and tables.
Allows querying Slack channels, messages, and users using SQL.
Provides SQL access to Snapchat Ads data and campaign metrics.
Enables SQL access to Snowflake databases, schemas, and tables.
Allows querying Splunk logs and events using SQL.
Provides SQL access to Square payments, orders, and customer data.
Enables SQL-based access to Stripe customers, payments, and subscription data.
Allows querying SurveyMonkey surveys, responses, and analytics using SQL.
Provides SQL access to Teradata databases and tables.
Enables SQL-based access to Trello boards, cards, and lists.
Allows querying data sources connected through Trino using SQL.
Provides SQL access to Twilio messages, calls, and account data.
Enables SQL-based access to WooCommerce products, orders, and customers.
Allows querying WordPress posts, pages, users, and site data using SQL.
Provides SQL access to Xero accounting data including invoices, contacts, and accounts.
Enables SQL-based querying of XML data files and sources.
Allows querying Zendesk tickets, users, and support data using SQL.
Provides SQL access to various Zoho applications including CRM, Books, and Inventory.
parquet-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for Parquet
: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 Parquet (beta)](https://www.cdata.com/download/download.aspx?sku=HIZK-V &type=beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data Parquet supported by the CData JDBC Driver for Parquet.
CData JDBC Driver connects to Parquet by exposing them as relational SQL models.
This server wraps that driver and makes Parquet 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/parquet/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 Parquet\
- (Mac/Linux)
/Applications/CData JDBC Driver for Parquet/
- (Windows)
- Run the command
java -jar cdata.jdbc.parquet.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.parquet.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.parquet.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.parquet.ParquetDriver)
- 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.
Parquet MCP Server by CData
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