Allows querying and retrieving data from ADP systems through SQL interfaces, making the data available for natural language interactions.
Enables reading data from Airtable databases through SQL interfaces, making the information accessible via natural language queries.
Provides read access to Amazon DynamoDB data through SQL interfaces, allowing natural language querying of NoSQL database information.
Enables querying data stored in Amazon S3 through SQL interfaces, making cloud storage information accessible via natural language.
Provides read access to Asana project management data through SQL interfaces, enabling natural language querying of tasks and projects.
Allows querying Basecamp project management data through SQL interfaces, making project information accessible via natural language.
Enables reading BigCommerce e-commerce platform data through SQL interfaces for natural language querying of product and order information.
Provides read access to Bitbucket repository data through SQL interfaces, enabling natural language querying of code repositories.
Allows querying Box cloud storage data through SQL interfaces, making file and folder information accessible via natural language.
Enables reading Confluence wiki data through SQL interfaces, allowing natural language querying of documentation and knowledge base content.
Provides read access to Couchbase NoSQL database data through SQL interfaces, enabling natural language querying of document-oriented data.
Allows querying Databricks data through SQL interfaces, making data lakehouse information accessible via natural language.
Enables reading Dropbox cloud storage data through SQL interfaces, allowing natural language querying of file and folder information.
Provides read access to eBay marketplace data through SQL interfaces, enabling natural language querying of product and seller information.
Allows querying Elasticsearch data through SQL interfaces, making search engine data accessible via natural language.
Enables reading EnterpriseDB database data through SQL interfaces, allowing natural language querying of PostgreSQL-based enterprise database information.
Provides read access to Facebook social media data through SQL interfaces, enabling natural language querying of social network information.
Allows querying GitHub repository data through SQL interfaces, making code repository information accessible via natural language.
Enables reading Gmail email data through SQL interfaces, allowing natural language querying of email messages and contacts.
Provides read access to Google Ads advertising data through SQL interfaces, enabling natural language querying of campaign performance metrics.
Allows querying Google Analytics website traffic data through SQL interfaces, making analytics information accessible via natural language.
Enables reading Google Calendar event data through SQL interfaces, allowing natural language querying of calendar events and schedules.
Provides read access to Google Campaign Manager 360 advertising data through SQL interfaces, enabling natural language querying of digital marketing campaigns.
Allows querying Google Cloud Storage data through SQL interfaces, making cloud storage information accessible via natural language.
Enables reading Google Drive file storage data through SQL interfaces, allowing natural language querying of documents and folders.
Provides read access to Google Sheets spreadsheet data through SQL interfaces, enabling natural language querying of tabular data.
Allows querying GraphQL API data through SQL interfaces, making GraphQL endpoint data accessible via natural language.
Enables reading Greenhouse recruitment data through SQL interfaces, allowing natural language querying of applicant and job posting information.
Provides read access to Apache Hive data warehouse information through SQL interfaces, enabling natural language querying of big data repositories.
Allows querying HubSpot CRM data through SQL interfaces, making customer relationship management information accessible via natural language.
Enables reading Instagram social media data through SQL interfaces, allowing natural language querying of social network content and metrics.
Provides read access to Jira issue tracking data through SQL interfaces, enabling natural language querying of project issues and tickets.
Enables reading Mailchimp email marketing data through SQL interfaces, allowing natural language querying of campaigns and subscriber information.
Provides read access to MariaDB database data through SQL interfaces, enabling natural language querying of relational database information.
Allows querying MongoDB NoSQL database data through SQL interfaces, making document-oriented database information accessible via natural language.
Enables reading MYOB accounting data through SQL interfaces, allowing natural language querying of financial and business information.
Provides read access to MySQL database data through SQL interfaces, enabling natural language querying of relational database information.
Allows querying Neo4j graph database data through SQL interfaces, making graph relationship information accessible via natural language.
Enables reading Odoo ERP data through SQL interfaces, allowing natural language querying of business management information.
Provides read access to Okta identity management data through SQL interfaces, enabling natural language querying of user authentication information.
Allows querying PayPal payment processing data through SQL interfaces, making transaction information accessible via natural language.
Enables reading Pinterest social media data through SQL interfaces, allowing natural language querying of social network content and metrics.
Provides read access to PostgreSQL database data through SQL interfaces, enabling natural language querying of relational database information.
Allows querying Presto distributed SQL query engine data through SQL interfaces, making big data accessible via natural language.
Enables reading QuickBooks accounting data through SQL interfaces, allowing natural language querying of financial and business information.
Provides read access to Redis in-memory data structure store information through SQL interfaces, enabling natural language querying of key-value data.
Allows querying RSS feed data through SQL interfaces, making syndicated web content accessible via natural language.
Enables reading Sage accounting data through SQL interfaces, allowing natural language querying of financial and business information.
Provides read access to Salesforce CRM data through SQL interfaces, enabling natural language querying of customer relationship management information.
Allows querying SAP ERP data through SQL interfaces, making enterprise resource planning information accessible via natural language.
Enables reading SendGrid email delivery data through SQL interfaces, allowing natural language querying of email campaign information.
Provides read access to Shopify e-commerce data through SQL interfaces, enabling natural language querying of product and order information.
Allows querying SingleStore database data through SQL interfaces, making distributed SQL database information accessible via natural language.
Enables reading Slack messaging data through SQL interfaces, allowing natural language querying of team communication information.
Provides read access to Snapchat Ads data through SQL interfaces, enabling natural language querying of social media advertising metrics.
Allows querying Snowflake data warehouse information through SQL interfaces, making cloud data warehouse information accessible via natural language.
Enables reading Splunk data analytics information through SQL interfaces, allowing natural language querying of machine data and logs.
Provides read access to Square payment processing data through SQL interfaces, enabling natural language querying of transaction information.
Allows querying Stripe payment processing data through SQL interfaces, making transaction information accessible via natural language.
Enables reading SurveyMonkey survey data through SQL interfaces, allowing natural language querying of survey responses and analytics.
Provides read access to Teradata database information through SQL interfaces, enabling natural language querying of enterprise data warehouse content.
Allows querying Trello project management data through SQL interfaces, making board and card information accessible via natural language.
Enables reading Trino (formerly PrestoSQL) distributed query engine data through SQL interfaces, allowing natural language querying of big data.
Provides read access to Twilio communications API data through SQL interfaces, enabling natural language querying of messaging and voice call information.
Allows querying WooCommerce e-commerce data through SQL interfaces, making WordPress store information accessible via natural language.
Enables reading WordPress CMS data through SQL interfaces, allowing natural language querying of website content and user information.
Provides read access to Xero accounting data through SQL interfaces, enabling natural language querying of financial and business information.
Allows querying XML structured data through SQL interfaces, making XML document information accessible via natural language.
Enables reading YouTube Analytics data through SQL interfaces, allowing natural language querying of video performance metrics.
Provides read access to Zendesk customer service data through SQL interfaces, enabling natural language querying of support ticket information.
Allows querying Zoho business application data through SQL interfaces, making CRM, project management, and other business information accessible via natural language.
access-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for Access
: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 Access (beta)](https://www.cdata.com/download/download.aspx?sku=DCZK-V &type=beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data Access supported by the CData JDBC Driver for Access.
CData JDBC Driver connects to Access by exposing them as relational SQL models.
This server wraps that driver and makes Access 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/access/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 Access\
- (Mac/Linux)
/Applications/CData JDBC Driver for Access/
- (Windows)
- Run the command
java -jar cdata.jdbc.access.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.access.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.access.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.access.AccessDriver)
- 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.
Access MCP Server by CData
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