Enables querying of ADP HR and payroll data through SQL-like interface, providing access to employee information, payroll records, and HR analytics.
Allows querying of Airtable databases and tables, enabling retrieval of structured data from Airtable bases through natural language queries.
Provides access to Amazon DynamoDB tables and records, enabling querying of NoSQL data through a relational SQL interface.
Enables querying and access to Amazon S3 bucket contents and metadata through SQL-like operations.
Allows querying of Asana project data, tasks, teams, and workspace information through a structured data interface.
Provides access to Basecamp project data, enabling queries on projects, tasks, messages, and team collaboration data.
Enables querying of BigCommerce store data including products, orders, customers, and sales analytics through SQL interface.
Allows access to Bitbucket repository data, pull requests, issues, and project information through structured queries.
Provides querying capabilities for Box file storage, including file metadata, folder structures, and sharing information.
Enables querying of Confluence pages, spaces, and content metadata through SQL-like interface for knowledge base access.
Allows querying of Couchbase NoSQL database documents and collections through a relational SQL interface.
Provides access to Databricks workspace data, notebooks, clusters, and analytics through SQL querying capabilities.
Enables querying of Dropbox file storage, including file metadata, folder structures, and sharing permissions.
Allows querying of eBay marketplace data including listings, sales, buyer information, and marketplace analytics.
Provides SQL-like querying capabilities for Elasticsearch indices, enabling structured access to search and analytics data.
Enables querying of Facebook data including pages, posts, insights, and social media analytics through structured interface.
Allows querying of GitHub repository data, issues, pull requests, commits, and project analytics through SQL interface.
Provides access to Gmail messages, folders, and email metadata through structured querying capabilities.
Enables querying of Google Ads campaign data, performance metrics, keywords, and advertising analytics.
Allows access to Google Analytics data including website traffic, user behavior, and conversion metrics through SQL queries.
Provides querying capabilities for Google Calendar events, schedules, and calendar metadata.
Enables access to Google Campaign Manager 360 advertising data, campaign performance, and digital marketing analytics.
Allows querying of Google Cloud Storage bucket contents, file metadata, and storage analytics.
Provides access to Google Drive files, folders, sharing permissions, and document metadata through structured queries.
Enables querying of Google Sheets data, allowing access to spreadsheet contents and metadata through SQL-like interface.
Provides connectivity to GraphQL APIs, enabling structured querying of GraphQL endpoints through SQL interface.
Allows querying of Greenhouse recruiting data including candidates, jobs, interviews, and hiring analytics.
Enables access to HubSpot CRM data including contacts, deals, companies, and marketing analytics through SQL queries.
Provides querying capabilities for Instagram business data including posts, insights, and social media analytics.
Allows access to Jira project data, issues, workflows, and project management analytics through structured queries.
Provides access to MailChimp email marketing data including campaigns, subscribers, and email analytics.
Allows direct querying of MariaDB databases, tables, and relational data through SQL interface.
Enables querying of MongoDB collections and documents through a relational SQL interface for NoSQL data access.
Provides direct SQL querying capabilities for MySQL databases, tables, and relational data structures.
Allows querying of Neo4j graph database nodes, relationships, and graph data through SQL-like interface.
Enables access to Odoo ERP data including modules, records, and business process information through structured queries.
Provides querying capabilities for Okta identity management data including users, groups, and authentication logs.
Allows access to PayPal transaction data, payment information, and financial analytics through SQL queries.
Enables querying of Pinterest data including pins, boards, and social media analytics through structured interface.
Provides direct SQL querying capabilities for PostgreSQL databases, tables, and relational data structures.
Allows querying of Presto distributed SQL query engine data sources through SQL interface.
Enables access to QuickBooks accounting data including transactions, customers, vendors, and financial reports.
Provides querying capabilities for Redis key-value store data through SQL-like interface.
Allows querying of RSS feed data including articles, metadata, and syndication information through structured interface.
Enables access to Sage accounting and ERP data including financial records, transactions, and business analytics.
Provides comprehensive access to Salesforce CRM data including accounts, contacts, opportunities, and sales analytics through SQL queries.
Allows querying of SAP enterprise data including business processes, transactions, and ERP information through SQL interface.
Enables access to SendGrid email delivery data including campaigns, analytics, and email performance metrics.
Provides querying capabilities for Shopify store data including products, orders, customers, and e-commerce analytics.
Allows direct SQL querying of SingleStore database tables and distributed data structures.
Enables access to Slack workspace data including messages, channels, users, and team communication analytics.
Provides querying capabilities for Snapchat Ads data including campaigns, performance metrics, and advertising analytics.
Allows direct SQL querying of Snowflake data warehouse tables and cloud data structures.
Enables querying of Splunk data including logs, events, and machine data analytics through SQL-like interface.
Provides access to Square payment data including transactions, customers, and point-of-sale analytics.
Allows querying of Stripe payment data including transactions, customers, subscriptions, and financial analytics.
Enables access to SurveyMonkey survey data including responses, questions, and survey analytics through structured queries.
Provides direct SQL querying capabilities for Teradata data warehouse tables and analytics data.
Allows querying of Trello board data including cards, lists, members, and project management information.
Enables querying of Trino distributed SQL query engine data sources through SQL interface.
Provides access to Twilio communication data including messages, calls, and communication analytics through SQL queries.
Allows querying of WooCommerce e-commerce data including products, orders, customers, and sales analytics.
Enables access to WordPress site data including posts, pages, users, and content management information.
Provides querying capabilities for Xero accounting data including transactions, invoices, and financial reports.
Allows querying of XML data sources and files through SQL-like interface for structured document access.
Enables access to YouTube Analytics data including video performance, channel metrics, and audience insights.
Provides querying capabilities for Zendesk support data including tickets, customers, and customer service analytics.
Allows access to Zoho suite data including CRM, projects, and business application information through SQL queries.
paylocity-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for Paylocity
: 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 Paylocity (beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data Paylocity supported by the CData JDBC Driver for Paylocity.
CData JDBC Driver connects to Paylocity by exposing them as relational SQL models.
This server wraps that driver and makes Paylocity 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/paylocity/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 Paylocity\
- (Mac/Linux)
/Applications/CData JDBC Driver for Paylocity/
- (Windows)
- Run the command
java -jar cdata.jdbc.paylocity.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.paylocity.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.paylocity.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.paylocity.PaylocityDriver)
- 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
local-only server
The server can only run on the client's local machine because it depends on local resources.
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 Paylocity (beta): https://www.cdata.com/download/download.aspx?sku=KPZK-V&type=beta
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