Enables access to ADP human resources and payroll data through SQL models.
Allows querying and retrieving data from Airtable bases and tables through SQL models.
Provides SQL-based access to Amazon DynamoDB NoSQL database tables and records.
Enables SQL-based querying of data stored in Amazon S3 buckets and objects.
Provides access to Asana project management data including tasks, projects, and teams.
Allows retrieving data from Basecamp project management platform including projects, to-dos, and messages.
Enables access to BigCommerce e-commerce platform data including products, orders, and customers.
Provides SQL-based access to Bitbucket repositories, pull requests, issues, and other version control data.
Allows querying Box cloud storage data including files, folders, and sharing information.
Enables retrieving data from Confluence knowledge base including spaces, pages, and content.
Provides SQL-based access to Couchbase NoSQL database documents and collections.
Allows querying data stored in Databricks tables and datasets.
Enables SQL-based access to Dropbox files, folders, and sharing data.
Provides access to eBay marketplace data including listings, sales, and inventory.
Allows SQL-based querying of Elasticsearch indices and documents.
Enables access to EnterpriseDB PostgreSQL databases and tables.
Provides SQL-based access to Facebook social media data including posts, pages, and metrics.
Allows querying GitHub repositories, issues, pull requests, and other development data.
Enables SQL-based access to Gmail emails, labels, and attachments.
Provides access to Google Ads campaign data, performance metrics, and reporting.
Allows retrieving Google Analytics website traffic and user behavior data.
Enables SQL-based access to Google Calendar events, attendees, and schedules.
Provides access to Google Campaign Manager 360 advertising data and reporting.
Allows SQL-based querying of data stored in Google Cloud Storage buckets.
Enables access to Google Drive files, folders, and sharing information.
Provides SQL-based access to Google Sheets spreadsheet data and formulas.
Allows SQL-based querying of GraphQL APIs and data sources.
Enables access to Greenhouse recruiting and applicant tracking data.
Provides SQL-based access to HubSpot CRM data including contacts, companies, and deals.
Allows querying Instagram social media data including posts, followers, and engagement metrics.
Enables SQL-based access to Jira issue tracking data including projects, issues, and workflows.
Allows access to MailChimp email marketing data including campaigns, subscribers, and metrics.
Enables SQL-based access to MariaDB database tables and records.
Provides SQL-based querying of MongoDB NoSQL database collections and documents.
Allows access to MYOB accounting data including transactions, customers, and financial records.
Enables SQL-based access to MySQL database tables and records.
Provides SQL-based querying of Neo4j graph database nodes and relationships.
Allows access to Odoo ERP system data including sales, inventory, and contacts.
Enables SQL-based access to Okta identity management users, groups, and applications.
Provides access to PayPal payment transaction data and account information.
Allows querying Pinterest social media data including pins, boards, and analytics.
Enables SQL-based access to PostgreSQL database tables and records.
Provides SQL querying capability for Presto distributed SQL query engine data.
Allows access to QuickBooks accounting data including transactions, customers, and financial records.
Enables SQL-based querying of Redis key-value store data.
Provides SQL-based access to RSS feed content and metadata.
Allows querying Sage accounting system data including financial records and transactions.
Enables SQL-based access to Salesforce CRM data including contacts, opportunities, and accounts.
Provides access to SAP ERP system data including sales, inventory, and financial records.
Allows querying SendGrid email service data including emails, campaigns, and metrics.
Enables SQL-based access to Shopify e-commerce platform data including products, orders, and customers.
Provides SQL-based querying of SingleStore database tables and records.
Allows access to Slack messaging platform data including channels, messages, and users.
Enables SQL-based access to Snapchat advertising data and metrics.
Provides SQL-based querying of Snowflake data warehouse tables and views.
Allows access to Splunk log and machine data through SQL-based queries.
Enables SQL-based access to Square payment and point-of-sale data including transactions and items.
Provides access to Stripe payment processing data including charges, customers, and subscriptions.
Allows querying SurveyMonkey survey data including questions, responses, and analytics.
Enables SQL-based access to Teradata database tables and records.
Provides SQL-based querying of Trello boards, cards, and lists for project management data.
Allows access to Trino (formerly PrestoSQL) distributed SQL query engine data.
Enables SQL-based access to Twilio communication API data including messages and calls.
Provides access to WooCommerce e-commerce platform data including products, orders, and customers.
Allows querying WordPress CMS data including posts, pages, and users.
Enables SQL-based access to Xero accounting data including transactions and financial records.
Provides SQL-based querying of XML data files and structures.
Allows access to YouTube Analytics data including video performance and channel metrics.
Enables SQL-based access to Zendesk customer service platform tickets, users, and interactions.
Provides access to Zoho business applications data including CRM, Books, and Projects.
office-365-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for Office 365
: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 Office 365 (beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data Office 365 supported by the CData JDBC Driver for Office 365.
CData JDBC Driver connects to Office 365 by exposing them as relational SQL models.
This server wraps that driver and makes Office 365 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/office365/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 Office 365\
- (Mac/Linux)
/Applications/CData JDBC Driver for Office 365/
- (Windows)
- Run the command
java -jar cdata.jdbc.office365.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.office365.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.office-365.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.office365.Office365Driver)
- 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
Office 365 MCP Server by CData
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