Enables querying live ADP data through SQL-like operations, allowing access to HR and payroll information in a relational format.
Provides access to Airtable databases through SQL queries, enabling retrieval of base data, tables, and records.
Allows querying Amazon DynamoDB NoSQL databases using SQL-like syntax for retrieving items and table information.
Enables access to Amazon S3 storage buckets and objects through SQL queries for file and metadata retrieval.
Provides SQL-based access to Asana project management data including tasks, projects, teams, and workspace information.
Enables querying Basecamp project data through SQL operations for accessing projects, tasks, and team collaboration information.
Allows SQL-based access to BigCommerce e-commerce data including products, orders, customers, and store information.
Provides access to Bitbucket repository data through SQL queries for repositories, pull requests, issues, and project information.
Enables querying Box cloud storage data including files, folders, and sharing information through SQL operations.
Allows SQL-based access to Confluence wiki data including pages, spaces, comments, and content metadata.
Provides SQL query access to Couchbase NoSQL database documents and buckets.
Enables querying Databricks analytics platform data through SQL operations for accessing notebooks, clusters, and job information.
Allows SQL-based access to Dropbox file storage including files, folders, and sharing metadata.
Provides SQL query access to eBay marketplace data including listings, orders, and seller information.
Enables querying Elasticsearch search engine data and indices through SQL-like operations.
Allows SQL-based access to Facebook social media data including posts, pages, and user interactions.
Provides access to GitHub repository data through SQL queries for repositories, issues, pull requests, and project information.
Enables querying Gmail email data including messages, threads, and mailbox information through SQL operations.
Allows SQL-based access to Google Ads campaign data including campaigns, ad groups, keywords, and performance metrics.
Provides SQL query access to Google Analytics web analytics data including traffic, conversions, and user behavior metrics.
Enables querying Google Calendar data including events, calendars, and scheduling information through SQL operations.
Allows SQL-based access to Google Campaign Manager 360 advertising data including campaigns, placements, and performance metrics.
Provides access to Google Cloud Storage buckets and objects through SQL queries for file and metadata retrieval.
Enables querying Google Drive file storage including files, folders, and sharing permissions through SQL operations.
Allows SQL-based access to Google Sheets spreadsheet data including worksheets, cells, and formatting information.
Provides SQL query interface for GraphQL APIs, enabling relational access to GraphQL schema and data.
Enables querying Greenhouse recruiting platform data including candidates, jobs, and hiring pipeline information through SQL operations.
Allows SQL-based access to HubSpot CRM data including contacts, companies, deals, and marketing campaign information.
Provides access to Instagram social media data including posts, profiles, and engagement metrics through SQL queries.
Enables querying Jira project management data including issues, projects, workflows, and user information through SQL operations.
Provides access to MailChimp email marketing data including campaigns, lists, subscribers, and performance metrics through SQL queries.
Enables direct SQL access to MariaDB database tables, views, and stored procedures.
Allows SQL-like querying of MongoDB NoSQL databases including collections and documents.
Provides SQL-based access to MYOB accounting software data including accounts, transactions, and financial reports.
Enables direct SQL access to MySQL database tables, views, and stored procedures.
Allows SQL-like querying of Neo4j graph databases including nodes, relationships, and graph data.
Provides access to Odoo ERP system data including modules, records, and business process information through SQL queries.
Enables querying Okta identity management data including users, groups, applications, and authentication logs through SQL operations.
Allows SQL-based access to PayPal payment data including transactions, accounts, and payment information.
Provides access to Pinterest social media data including pins, boards, and user engagement metrics through SQL queries.
Enables direct SQL access to PostgreSQL database tables, views, and stored procedures.
Allows SQL querying through Presto distributed SQL query engine for accessing various data sources.
Provides SQL-based access to QuickBooks accounting data including customers, vendors, transactions, and financial reports.
Enables SQL-like querying of Redis key-value database including keys, values, and data structures.
Allows SQL-based querying of RSS feeds for accessing articles, metadata, and feed information.
Provides access to Sage accounting software data including financial records, customers, and business transactions through SQL queries.
Enables querying Salesforce CRM data including accounts, contacts, opportunities, and custom objects through SQL operations.
Allows SQL-based access to SAP enterprise software data including business processes, modules, and transactional information.
Provides access to SendGrid email service data including email campaigns, delivery statistics, and contact lists through SQL queries.
Enables querying Shopify e-commerce data including products, orders, customers, and store analytics through SQL operations.
Allows direct SQL access to SingleStore database tables and real-time analytics data.
Provides SQL-based access to Slack workspace data including channels, messages, users, and team information.
Enables querying Snapchat Ads data including campaigns, ad performance, and advertising metrics through SQL operations.
Allows direct SQL access to Snowflake data warehouse tables, views, and stored procedures.
Provides SQL query access to Splunk machine data platform including logs, events, and analytics information.
Enables querying Square payment platform data including transactions, customers, and business analytics through SQL operations.
Allows SQL-based access to Stripe payment data including charges, customers, subscriptions, and transaction information.
Provides access to SurveyMonkey survey data including responses, questions, and survey analytics through SQL queries.
Enables direct SQL access to Teradata data warehouse tables, views, and analytical functions.
Allows SQL-based access to Trello project management data including boards, cards, lists, and team information.
Provides SQL querying capabilities through Trino distributed query engine for accessing multiple data sources.
Enables querying Twilio communication platform data including messages, calls, and account information through SQL operations.
Allows SQL-based access to WooCommerce e-commerce data including products, orders, customers, and store metrics.
Provides access to WordPress website data including posts, pages, users, and content metadata through SQL queries.
Enables querying Xero accounting software data including invoices, contacts, transactions, and financial reports through SQL operations.
Allows SQL-based querying of XML data sources and files for structured data retrieval.
Provides access to YouTube Analytics data including video performance, channel metrics, and audience insights through SQL queries.
Enables querying Zendesk customer service data including tickets, users, organizations, and support metrics through SQL operations.
Allows SQL-based access to Zoho business suite data including CRM, projects, books, and other application information.
acumatica-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for Acumatica
: 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 Acumatica (beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data Acumatica supported by the CData JDBC Driver for Acumatica.
CData JDBC Driver connects to Acumatica by exposing them as relational SQL models.
This server wraps that driver and makes Acumatica 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/acumatica/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 Acumatica\
- (Mac/Linux)
/Applications/CData JDBC Driver for Acumatica/
- (Windows)
- Run the command
java -jar cdata.jdbc.acumatica.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.acumatica.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.acumatica.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.acumatica.AcumaticaDriver)
- 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 read-only MCP Server allows you to connect to Acumatica 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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