Enables querying of ADP data through SQL interface, allowing access to payroll, HR, and workforce management information stored in ADP systems.
Provides SQL-based access to Airtable databases, enabling querying of tables, records, and fields from Airtable workspaces.
Allows SQL querying of Amazon DynamoDB tables and data through a relational interface to the NoSQL database service.
Enables SQL-based access to Amazon S3 buckets and objects, providing structured querying capabilities for cloud storage data.
Provides SQL interface to Asana project management data, enabling queries on tasks, projects, teams, and user information.
Allows SQL querying of Basecamp project data including projects, to-dos, messages, and team collaboration information.
Enables SQL-based access to BigCommerce store data including products, orders, customers, and e-commerce analytics.
Provides SQL interface to Bitbucket repositories, enabling queries on code repositories, pull requests, issues, and project data.
Allows SQL querying of Box cloud storage data including files, folders, users, and collaboration information.
Enables SQL-based access to Confluence wiki content, pages, spaces, and collaboration data.
Provides SQL interface to Couchbase NoSQL database, enabling relational queries on document-based data.
Allows SQL querying of Databricks data lakehouse platform, providing access to analytics and machine learning data.
Enables SQL-based access to Dropbox file storage, allowing queries on files, folders, and sharing information.
Provides SQL interface to eBay marketplace data including listings, orders, seller information, and marketplace analytics.
Allows SQL querying of Elasticsearch indices and documents, providing structured access to search and analytics data.
Enables SQL-based access to Facebook social media data and advertising information through their APIs.
Provides SQL interface to GitHub repositories, enabling queries on code repositories, issues, pull requests, and development data.
Allows SQL querying of Gmail email data including messages, threads, labels, and email metadata.
Enables SQL-based access to Google Ads campaign data, keywords, performance metrics, and advertising analytics.
Provides SQL interface to Google Analytics data, enabling queries on website traffic, user behavior, and web analytics.
Allows SQL querying of Google Calendar events, schedules, and calendar metadata.
Enables SQL-based access to Google Campaign Manager 360 advertising data and campaign performance metrics.
Provides SQL interface to Google Cloud Storage buckets and objects, enabling structured queries on cloud storage data.
Allows SQL querying of Google Drive files, folders, permissions, and document metadata.
Enables SQL-based access to Google Sheets spreadsheet data, allowing queries on cells, ranges, and worksheet information.
Provides SQL interface to GraphQL APIs, enabling relational queries on GraphQL schema and data.
Allows SQL querying of Greenhouse recruiting data including candidates, jobs, interviews, and hiring pipeline information.
Enables SQL-based access to HubSpot CRM data including contacts, companies, deals, and marketing automation information.
Provides SQL interface to Instagram social media data and advertising metrics through their APIs.
Allows SQL querying of Jira project management data including issues, projects, workflows, and development tracking information.
Provides SQL interface to MailChimp email marketing data including campaigns, subscribers, and email analytics.
Allows SQL querying of MariaDB database systems, providing direct access to relational database data.
Enables SQL-based access to MongoDB document databases through a relational interface to NoSQL data.
Provides SQL interface to MYOB accounting software data including financial records, accounts, and business information.
Allows direct SQL querying of MySQL database systems and their relational data structures.
Enables SQL-based access to Neo4j graph database, providing relational queries on graph data and relationships.
Provides SQL interface to Odoo ERP system data including CRM, inventory, accounting, and business process information.
Allows SQL querying of Okta identity management data including users, groups, applications, and authentication information.
Enables SQL-based access to PayPal payment data including transactions, accounts, and financial information.
Provides SQL interface to Pinterest social media data including pins, boards, and advertising analytics.
Allows direct SQL querying of PostgreSQL database systems and their relational data structures.
Enables SQL querying through Presto distributed SQL query engine for big data analytics.
Provides SQL interface to QuickBooks accounting data including financial records, customers, vendors, and transactions.
Allows SQL-based access to Redis in-memory data store through a relational interface.
Enables SQL querying of RSS feed data including articles, feed metadata, and syndication information.
Provides SQL interface to Sage accounting and business management software data including financial and operational information.
Allows SQL querying of Salesforce CRM data including accounts, contacts, opportunities, and sales pipeline information.
Enables SQL-based access to SAP enterprise software data including ERP, finance, and business process information.
Provides SQL interface to SendGrid email delivery data including email statistics, campaigns, and delivery analytics.
Allows SQL querying of Shopify e-commerce data including products, orders, customers, and store analytics.
Enables direct SQL querying of SingleStore distributed database systems for real-time analytics.
Provides SQL interface to Slack workspace data including messages, channels, users, and team collaboration information.
Allows SQL querying of Snapchat advertising data and campaign performance metrics through their APIs.
Enables direct SQL querying of Snowflake cloud data warehouse for analytics and data processing.
Provides SQL interface to Splunk machine data platform for log analysis and operational intelligence queries.
Allows SQL querying of Square point-of-sale and payment data including transactions, customers, and business analytics.
Enables SQL-based access to Stripe payment processing data including transactions, customers, and financial information.
Provides SQL interface to SurveyMonkey survey data including responses, questions, and survey analytics.
Allows direct SQL querying of Teradata enterprise data warehouse systems for large-scale analytics.
Enables SQL querying of Trello project management data including boards, cards, lists, and team collaboration information.
Provides SQL querying capabilities through Trino distributed SQL query engine for big data analytics.
Allows SQL-based access to Twilio communications data including messages, calls, and communication analytics.
Enables SQL querying of WooCommerce e-commerce data including products, orders, customers, and store analytics.
Provides SQL interface to WordPress content management data including posts, pages, users, and site information.
Allows SQL querying of Xero accounting software data including financial records, invoices, and business information.
Enables SQL-based querying of XML data sources and documents through a structured relational interface.
Provides SQL interface to YouTube analytics data including video performance, channel metrics, and audience insights.
Allows SQL querying of Zendesk customer service data including tickets, users, organizations, and support analytics.
Enables SQL-based access to Zoho business application data including CRM, projects, books, and productivity suite information.
sharepoint-excel-services-mcp-server-by-cdata
CData's Model Context Protocol (MCP) Server for SharePoint Excel Services
: 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 SharePoint Excel Services (beta).
Purpose
We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data SharePoint Excel Services supported by the CData JDBC Driver for SharePoint Excel Services.
CData JDBC Driver connects to SharePoint Excel Services by exposing them as relational SQL models.
This server wraps that driver and makes SharePoint Excel Services 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/excelservices/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 SharePoint Excel Services\
- (Mac/Linux)
/Applications/CData JDBC Driver for SharePoint Excel Services/
- (Windows)
- Run the command
java -jar cdata.jdbc.excelservices.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.excelservices.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.sharepoint-excel-services.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.excelservices.ExcelServicesDriver)
- 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.
sharepoint_excel_services_get_tables
sharepoint_excel_services_get_columns
sharepoint_excel_services_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.
SharePoint Excel Services MCP Server by CData
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