CData Model Context Protocol (MCP) Server Implementation for SAP SuccessFactors

:warning: This specific deployment functions strictly for read-only operations. For comprehensive data manipulation capabilities (CRUD operations and actions) alongside a streamlined setup process, please investigate the complimentary CData MCP Server for SAP SuccessFactors (beta release).

Core Rationale

This read-only MCP Server was engineered to empower Large Language Models (LLMs), such as Claude Desktop, to issue queries against live data residing in SAP SuccessFactors. This capability is realized through integration with the foundational CData JDBC Driver for SAP SuccessFactors.

The CData JDBC Driver translates SAP SuccessFactors structures into a standard relational SQL model. Our server then encapsulates this driver, exposing the SuccessFactors data via a straightforward MCP endpoint. Consequently, LLMs can extract current information using plain English requests, entirely bypassing the requirement for writing SQL code.

Deployment Sequence

1. Obtain a local copy of the source code repository: bash git clone https://github.com/cdatasoftware/sap-successfactors-mcp-server-by-cdata.git cd sap-successfactors-mcp-server-by-cdata

2. Compile the server artifact: bash mvn clean install

   This action generates the executable JAR: CDataMCP-jar-with-dependencies.jar 3. Acquire and install the necessary CData JDBC Driver for {source}: https://www.cdata.com/drivers/sapsuccessfactors/download/jdbc 4. Activate the CData JDBC Driver license: * Navigate to the driver's installation directory's lib subdirectory, typically located at: * (Windows OS) C:\Program Files\CData\CData JDBC Driver for SAP SuccessFactors\ * (Unix-like OS) /Applications/CData JDBC Driver for SAP SuccessFactors/ * Execute the licensing utility command: java -jar cdata.jdbc.sapsuccessfactors.jar --license * Input your identification details (name, email) and either the string "TRIAL" or your valid license key. 5. Establish the configuration parameters for your data source connection (using Salesforce setup as an illustrative example): * Execute the following command to launch the Connection String configuration utility: java -jar cdata.jdbc.sapsuccessfactors.jar

   • Configure the necessary connection parameters and validate the linkage using "Test Connection".

     Crucial Note: If the target system utilizes OAuth for security, an interactive browser-based authentication step will be mandatory.

   • Upon a successful connection verification, capture and retain the generated connection string for subsequent steps.
   • Construct a configuration file, typically designated with the .prp extension (e.g., sap-successfactors.prp), defining the required parameters in the following format:
   • Prefix: A short identifier prepended to the exposed utility names.
   • ServerName: A distinct label for this specific server instance.
   • ServerVersion: The version designation for the server.
   • DriverPath: The absolute filesystem path pointing to the loaded JDBC driver JAR file.
   • DriverClass: The fully qualified name of the JDBC Driver implementation class (e.g., cdata.jdbc.sapsuccessfactors.SAPSuccessFactorsDriver).
   • JdbcUrl: The connection string, obtained previously, used by the CData JDBC Driver to interface with the target data system.
   • Tables: Leave this field empty to grant access to all available schema elements, or specify a delimited list of tables for restricted exposure. env Prefix=sapsuccessfactors ServerName=CDataSAPSuccessFactors ServerVersion=1.0 DriverPath=PATH\TO\cdata.jdbc.sapsuccessfactors.jar DriverClass=cdata.jdbc.sapsuccessfactors.SAPSuccessFactorsDriver JdbcUrl=jdbc:sapsuccessfactors:InitiateOAuth=GETANDREFRESH; Tables=

Integrating the Server with Claude Desktop

1. Generate or modify the configuration file for Claude Desktop (named claude_desktop_config.json) to incorporate the new MCP endpoint definition. If the file exists, append the new entry into the existing mcpServers structure.

   For Windows Environments

   { "mcpServers": { "{classname_dash}": { "command": "PATH\TO\java.exe", "args": [ "-jar", "PATH\TO\CDataMCP-jar-with-dependencies.jar", "PATH\TO\sap-successfactors.prp" ] }, ... } }

   For Linux/Mac Environments

   { "mcpServers": { "{classname_dash}": { "command": "/PATH/TO/java", "args": [ "-jar", "/PATH/TO/CDataMCP-jar-with-dependencies.jar", "/PATH/TO/sap-successfactors.prp" ] }, ... } }

   If necessary, relocate the generated configuration file to the client application's designated configuration path (using Claude Desktop as the example destination): Windows Relocation bash cp C:\PATH\TO\claude_desktop_config.json %APPDATA%\Claude\claude_desktop_config.json

   Linux/Mac Relocation bash cp /PATH/TO/claude_desktop_config.json /Users/{user}/Library/Application\ Support/Claude/claude_desktop_config.json'

2. Restart or refresh the connecting client application (e.g., Claude Desktop) to ensure the newly defined MCP services are loaded.

Important Notice: A complete shutdown and subsequent relaunch of the Claude Desktop client (not just minimizing it) is often required for new MCP Servers to become visible and operational.

Independent Server Execution

1. To launch the MCP Server as a standalone process, utilize the following command structure: bash java -jar /PATH/TO/CDataMCP-jar-with-dependencies.jar /PATH/TO/Salesforce.prp

   Limitation: Due to its reliance on stdio for communication, this server instance is only viable for client applications running on the identical host machine.

Operational Guidelines

Once the MCP Server is correctly instantiated and configured within the AI client, the client gains access to built-in instrumentation capable of reading, creating, modifying, and purging underlying data records. Typically, explicit invocation of these tools is unnecessary; the client's intelligence should permit direct questioning about the connected data architecture. For instance: * "Analyze the relationship between successfully closed deals and the associated client sector." * "Quantify the total count of outstanding support cases within the 'SUPPORT' organizational unit." * "Enumerate my scheduled calendar entries for the current day."

Available Instrumentation & Functionality Details

For definitions below, {servername} substitutes the identifier assigned to the MCP Server within the configuration file (e.g., {classname_dash}). * {servername}_get_tables: Fetches and reports the complete roster of accessible datasets within the connected source. Consult the {servername}_get_columns utility to determine the specific fields available for any given dataset. Output format is CSV, with the initial line containing field names. * {servername}_get_columns: Retrieves the structural definitions (columns) for a specified dataset. Use {servername}_get_tables first to enumerate valid datasets. Output format is CSV, with the initial line containing field names. * {servername}_run_query: Executes a structured SQL SELECT command against the data source.

JSON-RPC Interaction Prototypes

If direct scripting of server interactions is needed, bypassing the AI client interface (like Claude), refer to the following JSON payload examples. These adhere to the JSON-RPC 2.0 standard for invoking the established utilities.

Example Invocation for Fetching Table Schemas (sap_successfactors_get_tables)

{ "jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": { "name": "sap_successfactors_get_tables", "arguments": {} } }

Example Invocation for Retrieving Column Metadata (sap_successfactors_get_columns)

{ "jsonrpc": "2.0", "id": 2, "method": "tools/call", "params": { "name": "sap_successfactors_get_columns", "arguments": { "table": "Account" } } }

Example Invocation for Executing a Data Selection Query (sap_successfactors_run_query)

{ "jsonrpc": "2.0", "id": 3, "method": "tools/call", "params": { "name": "sap_successfactors_run_query", "arguments": { "sql": "SELECT * FROM [Account] WHERE [IsDeleted] = true" } } }

Diagnostic Reference

1. If the CData MCP Server is not visible within Claude Desktop, confirm that the application has been completely terminated (use Windows Task Manager or macOS Activity Monitor to verify process closure).
2. If data retrieval failures occur within Claude Desktop, meticulously re-verify the connection string configuration. It is best practice to use the dedicated utility to generate the string and then paste it into the corresponding .prp configuration file.
3. For issues related to connecting to the backend data system, escalate the inquiry to the CData Support Team.
4. For feedback or difficulties encountered while utilizing the MCP server itself, please engage with the CData Community Forum.

Licensing Terms

This MCP server is distributed under the permissive MIT License. This grants broad rights to utilize, alter, and disseminate the software, contingent upon adherence to the specified terms within the MIT License document. Refer to the LICENSE file within this repository for comprehensive details.

Comprehensive Connector Catalog

Data Source Group	Available Connectors
CRM & ERP	Salesforce, Dynamics 365, NetSuite, SAP, Zoho CRM, HubSpot
Cloud Storage & DB	Amazon S3, Google BigQuery, Snowflake, PostgreSQL, MongoDB, Azure Synapse
Analytics & BI	Google Analytics, Tableau CRM, Splunk, Power BI XMLA
Productivity & Collaboration	Microsoft Teams, SharePoint, Jira, Confluence, Google Drive, Slack
Financial & Accounting	QuickBooks Online, Xero, Sage Cloud Accounting, MYOB AccountRight
File Systems & APIs	REST, OData, JSON, XML, FTP, SFTP, Kafka
... and many more specialized platforms ...	See full list below

Access	Act CRM	Act-On	Active Directory
ActiveCampaign	Acumatica	Adobe Analytics	Adobe Commerce
ADP	Airtable	AlloyDB	Amazon Athena
Amazon DynamoDB	Amazon Marketplace	Amazon S3	Asana
Authorize.Net	Avalara AvaTax	Avro	Azure Active Directory
Azure Analysis Services	Azure Data Catalog	Azure Data Lake Storage	Azure DevOps
Azure Synapse	Azure Table	Basecamp	BigCommerce
BigQuery	Bing Ads	Bing Search	Bitbucket
Blackbaud FE NXT	Box	Bullhorn CRM	Cassandra
Certinia	Cloudant	CockroachDB	Confluence
Cosmos DB	Couchbase	CouchDB	CSV
Cvent	Databricks	DB2	DocuSign
Dropbox	Dynamics 365	Dynamics 365 Business Central	Dynamics CRM
Dynamics GP	Dynamics NAV	eBay	eBay Analytics
Elasticsearch	Email	EnterpriseDB	Epicor Kinetic
Exact Online	Excel	Excel Online	Facebook
Facebook Ads	FHIR	Freshdesk	FTP
GitHub	Gmail	Google Ad Manager	Google Ads
Google Analytics	Google Calendar	Google Campaign Manager 360	Google Cloud Storage
Google Contacts	Google Data Catalog	Google Directory	Google Drive
Google Search	Google Sheets	Google Spanner	GraphQL
Greenhouse	Greenplum	HarperDB	HBase
HCL Domino	HDFS	Highrise	Hive
HubDB	HubSpot	IBM Cloud Data Engine	IBM Cloud Object Storage
IBM Informix	Impala	Instagram	JDBC-ODBC Bridge
Jira	Jira Assets	Jira Service Management	JSON
Kafka	Kintone	LDAP	LinkedIn
LinkedIn Ads	MailChimp	MariaDB	Marketo
MarkLogic	Microsoft Dataverse	Microsoft Entra ID	Microsoft Exchange
Microsoft OneDrive	Microsoft Planner	Microsoft Project	Microsoft Teams
Monday.com	MongoDB	MYOB AccountRight	MySQL
nCino	Neo4J	NetSuite	OData
Odoo	Office 365	Okta	OneNote
Oracle	Oracle Eloqua	Oracle Financials Cloud	Oracle HCM Cloud
Oracle Sales	Oracle SCM	Oracle Service Cloud	Outreach.io
Parquet	Paylocity	PayPal	Phoenix
PingOne	Pinterest	Pipedrive	PostgreSQL
Power BI XMLA	Presto	Quickbase	QuickBooks
QuickBooks Online	QuickBooks Time	Raisers Edge NXT	Reckon
Reckon Accounts Hosted	Redis	Redshift	REST
RSS	Sage 200	Sage 300	Sage 50 UK
Sage Cloud Accounting	Sage Intacct	Salesforce	Salesforce Data Cloud
Salesforce Financial Service Cloud	Salesforce Marketing	Salesforce Marketing Cloud Account Engagement	Salesforce Pardot
Salesloft	SAP	SAP Ariba Procurement	SAP Ariba Source
SAP Business One	SAP BusinessObjects BI	SAP ByDesign	SAP Concur
SAP Fieldglass	SAP HANA	SAP HANA XS Advanced	SAP Hybris C4C
SAP Netweaver Gateway	SAP SuccessFactors	SAS Data Sets	SAS xpt
SendGrid	ServiceNow	SFTP	SharePoint
SharePoint Excel Services	ShipStation	Shopify	SingleStore
Slack	Smartsheet	Snapchat Ads	Snowflake
Spark	Splunk	SQL Analysis Services	SQL Server
Square	Stripe	Sugar CRM	SuiteCRM
SurveyMonkey	Sybase	Sybase IQ	Tableau CRM Analytics
Tally	TaxJar	Teradata	Tier1
TigerGraph	Trello	Trino	Twilio
Twitter	Twitter Ads	Veeva CRM	Veeva Vault
Wave Financial	WooCommerce	WordPress	Workday
xBase	Xero	XML	YouTube Analytics
Zendesk	Zoho Books	Zoho Creator	Zoho CRM
Zoho Inventory	Zoho Projects	Zuora	... Dozens More

WIKIPEDIA Reference: XMLHttpRequest (XHR) is a specialized JavaScript Application Programming Interface (API) embodied as an object. Its primary methods facilitate the transmission of HTTP requests from a running web browser environment to a designated web server. This capability allows web-based applications to dispatch requests to the server asynchronously following the initial page load, and subsequently receive return data. XHR is foundational to the architectural pattern known as Ajax. Before the advent of Ajax, standard server interaction relied predominantly on traditional hyperlink navigation and form submission mechanisms, frequently resulting in the complete replacement of the currently displayed web page.

== Chronology == The conceptual basis for XMLHttpRequest was first developed in the year 2000 by the engineering team responsible for Microsoft Outlook. This concept was subsequently integrated into the Internet Explorer 5 browser release (1999). However, the initial syntax did not utilize the identifier XMLHttpRequest; instead, developers employed ActiveXObject("Msxml2.XMLHTTP") and ActiveXObject("Microsoft.XMLHTTP"). As of the release of Internet Explorer 7 (2006), universal support for the standardized XMLHttpRequest identifier became available across all major browser platforms. The XMLHttpRequest identifier has since established itself as the prevailing convention supported by all leading browser engines, including Mozilla’s Gecko rendering engine (adopted in 2002), Safari version 1.2 (2004), and Opera version 8.0 (2005).

=== Standardization Efforts === The World Wide Web Consortium (W3C) issued its initial Working Draft specification detailing the XMLHttpRequest object on April 5, 2006. On February 25, 2008, the W3C released the Working Draft for Level 2 enhancements. This Level 2 specification introduced functionality to monitor transfer progress events, enable cross-origin communication, and manage raw byte streams. By the close of 2011, the features outlined in the Level 2 specification were consolidated back into the primary standard document. In late 2012, the stewardship for maintenance transitioned to the WHATWG, which now maintains a continuously evolving document utilizing the Web IDL specification language.

== Operational Flow == Generally, initiating a server communication using XMLHttpRequest involves adhering to a sequence of programming actions.

1. Instantiation: Create a new XMLHttpRequest object by invoking its constructor function:
2. Configuration: Invoke the "open" method to define the request protocol (e.g., GET, POST), designate the targeted server resource URI, and stipulate whether the operation will execute synchronously or asynchronously:
3. Event Handling (Asynchronous Only): For non-blocking operations, attach a dedicated event listener function designed to trigger upon state transitions of the request:
4. Transmission: Activate the communication channel by calling the "send" method, optionally passing data payloads:
5. Response Processing: Monitor the state changes within the registered event handler. If the server successfully transmits data, it is typically stored in the "responseText" property by default. When the object concludes all processing for that response, its status transitions to state 4, the terminal "done" state. Beyond these fundamental steps, XMLHttpRequest offers extensive configuration options to govern request transmission characteristics and response handling methods. Custom headers can be injected into the request to convey specific instructions to the server, and data can be transmitted upstream during the "send" call. The received response payload can be automatically parsed from JSON format into a native, usable JavaScript object, or processed incrementally as data arrives, avoiding latency from waiting for the complete transmission. Furthermore, a request can be prematurely terminated via an abort call or configured to time out if completion is not achieved within a set timeframe.

== Cross-Domain Communication == During the nascent phases of the World Wide Web, a security vulnerability was identified wherein scripts running on one origin could easily access resources from a different origin, leading to potential information leakage. This led to the implementation of the Same-Origin Policy.