Allows querying ADP data through a SQL interface, providing access to human resources and payroll information.
Enables SQL-based access to Airtable bases and tables, allowing retrieval of structured data from Airtable workspaces.
Provides SQL-based access to Amazon DynamoDB NoSQL databases, allowing structured queries against DynamoDB tables.
Enables SQL-based access to data stored in Amazon S3 buckets, treating file structures as queryable data sources.
Allows querying Asana project management data through SQL interfaces, providing access to tasks, projects, and workspace information.
Provides SQL-based access to Basecamp project management data, enabling queries for projects, tasks, and team collaboration information.
Enables SQL-based access to BigCommerce e-commerce platform data, including products, orders, and customer information.
Provides SQL-based access to Bitbucket repositories, issues, and other development workflow data.
Enables SQL-based queries against Box cloud storage platform, providing access to files, folders, and collaboration data.
Allows querying Confluence knowledge base content through SQL interfaces, providing access to pages, spaces, and content metadata.
Provides SQL-based access to Couchbase NoSQL databases, enabling structured queries against Couchbase documents and collections.
Enables SQL-based access to Databricks workspaces, allowing queries against data lakes and other Databricks-managed data sources.
Provides SQL-based access to Dropbox files and folders, treating cloud storage content as queryable data sources.
Allows querying eBay marketplace data through SQL interfaces, providing access to listings, orders, and seller account information.
Provides SQL-based access to Elasticsearch indices and documents, enabling structured queries against search data.
Enables SQL-based access to EnterpriseDB PostgreSQL databases, allowing queries against enterprise database systems.
Provides SQL-based access to Facebook social data, enabling queries for pages, posts, and other social media information.
Allows querying GitHub repositories, issues, pull requests and other development workflow data through SQL interfaces.
Provides SQL-based access to Gmail email data, enabling queries for messages, labels, and other email information.
Enables SQL-based access to Google Ads campaign data, providing insights into ad performance, keywords, and account metrics.
Provides SQL-based access to Google Analytics website performance data, enabling queries for traffic, user behavior, and conversion metrics.
Allows querying Google Calendar events and calendars through SQL interfaces.
Provides SQL-based access to Google Campaign Manager 360 advertising data, enabling queries for campaign performance and reporting.
Enables SQL-based access to data stored in Google Cloud Storage buckets, treating file structures as queryable data sources.
Provides SQL-based access to Google Drive files and folders, treating cloud documents as queryable data sources.
Allows querying Google Sheets data through SQL interfaces, treating spreadsheets as database tables.
Provides SQL-based access to GraphQL APIs, enabling structured queries against GraphQL data sources.
Enables SQL-based access to Greenhouse recruiting platform data, providing insights into hiring pipelines and candidate information.
Provides SQL-based access to HubSpot CRM data, enabling queries for contacts, companies, deals, and marketing information.
Allows querying Instagram social media data through SQL interfaces, providing access to posts, engagement metrics, and account information.
Provides SQL-based access to Jira project management data, enabling queries for issues, projects, and development workflows.
Provides SQL-based access to MailChimp email marketing data, enabling queries for campaigns, subscribers, and engagement metrics.
Allows querying MariaDB databases through SQL interfaces, providing access to relational database tables and views.
Provides SQL-based access to MongoDB NoSQL databases, enabling structured queries against MongoDB collections and documents.
Enables SQL-based access to MYOB AccountRight accounting data, providing insights into financial records and business information.
Allows querying MySQL databases through SQL interfaces, providing access to relational database tables and views.
Provides SQL-based access to Neo4J graph databases, enabling structured queries against graph data models.
Enables SQL-based access to Odoo ERP system data, providing insights into business operations, inventory, and customer information.
Provides SQL-based access to Okta identity management data, enabling queries for users, groups, and authentication information.
Allows querying PayPal payment processing data through SQL interfaces, providing access to transactions, customers, and financial information.
Provides SQL-based access to Pinterest social media data, enabling queries for pins, boards, and engagement metrics.
Enables SQL-based access to PostgreSQL databases, allowing queries against relational database tables and views.
Provides SQL-based access to Presto distributed query engine data sources, enabling cross-platform data queries.
Allows querying QuickBooks accounting data through SQL interfaces, providing access to financial records and business information.
Provides SQL-based access to Redis in-memory data structures, enabling structured queries against key-value data.
Enables SQL-based access to RSS feed content, treating feed entries as queryable database tables.
Provides SQL-based access to Sage accounting platforms, enabling queries for financial records and business information.
Allows querying Salesforce CRM data through SQL interfaces, providing access to leads, contacts, opportunities, and other sales information.
Provides SQL-based access to SAP ERP systems, enabling queries for business operations data and enterprise information.
Enables SQL-based access to SendGrid email service data, providing insights into email campaigns and delivery metrics.
Provides SQL-based access to Shopify e-commerce platform data, enabling queries for products, orders, and customer information.
Allows querying SingleStore distributed SQL databases through SQL interfaces.
Provides SQL-based access to Slack messaging data, enabling queries for channels, messages, and workspace information.
Enables SQL-based access to Snapchat Ads data, providing insights into advertising performance and campaign metrics.
Provides SQL-based access to Snowflake cloud data platform, enabling queries against data warehouse content.
Allows querying Splunk log and machine data through SQL interfaces, providing access to operational intelligence information.
Provides SQL-based access to Square payment processing data, enabling queries for transactions, customers, and inventory information.
Enables SQL-based access to Stripe payment processing data, providing insights into transactions, customers, and financial information.
Provides SQL-based access to SurveyMonkey survey data, enabling queries for survey responses and analytics.
Allows querying Teradata data warehouse systems through SQL interfaces.
Provides SQL-based access to Trello project management data, enabling queries for boards, cards, and lists.
Enables SQL-based access to Trino (formerly PrestoSQL) distributed query engine data sources.
Provides SQL-based access to Twilio communication platform data, enabling queries for messaging, voice calls, and service usage.
Allows querying WooCommerce e-commerce data through SQL interfaces, providing access to products, orders, and customer information.
Provides SQL-based access to WordPress content management system data, enabling queries for posts, pages, and site configuration.
Enables SQL-based access to Xero accounting platform data, providing insights into financial records and business information.
Provides SQL-based access to XML data files, treating structured XML as queryable database tables.
Allows querying YouTube Analytics data through SQL interfaces, providing access to video performance and channel metrics.
Provides SQL-based access to Zendesk customer service platform data, enabling queries for tickets, users, and support interactions.
Enables SQL-based access to Zoho business application suite data, including CRM, Books, Inventory, and Projects information.
microsoft-project-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for Microsoft Project
: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 Microsoft Project (beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data Microsoft Project supported by the CData JDBC Driver for Microsoft Project.
CData JDBC Driver connects to Microsoft Project by exposing them as relational SQL models.
This server wraps that driver and makes Microsoft Project 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/msproject/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 Microsoft Project\
- (Mac/Linux)
/Applications/CData JDBC Driver for Microsoft Project/
- (Windows)
- Run the command
java -jar cdata.jdbc.microsoftproject.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.microsoftproject.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.microsoft-project.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.microsoftproject.MicrosoftProjectDriver)
- 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
Microsoft Project MCP Server by CData
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