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    Api Driver Mcp Server By Cdata

    This read-only MCP Server allows you to connect to API Driver data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for API Driver (https://www.cdata.com/drivers/apidriver/download/mcp).

    0 stars
    Java
    Updated Oct 18, 2025

    Documentation

    api-driver-mcp-server-by-cdata

    CData's Model Context Protocol (MCP) Server for API Driver

    :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 CData MCP Server for API Driver.

    Purpose

    We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data API Driver supported by the CData JDBC Driver for API Driver.

    CData JDBC Driver connects to API Driver by exposing them as relational SQL models.

    This server wraps that driver and makes API Driver data available through a simple MCP interface, so LLMs can retrieve live information by asking natural language questions — no SQL required.

    Setup Guide

    1. Clone the repository:

    bash
    git clone https://github.com/cdatasoftware/api-driver-mcp-server-by-cdata.git
          cd api-driver-mcp-server-by-cdata

    2. Build the server:

    bash
    mvn clean install

    This creates the JAR file: CDataMCP-jar-with-dependencies.jar

    2. Download and install the CData JDBC Driver for {source}: https://www.cdata.com/drivers/apidriver/download/jdbc

    3. License the CData JDBC Driver:

    • Navigate to the lib folder in the installation directory, typically:
    • (Windows) C:\Program Files\CData\CData JDBC Driver for API Driver\
    • (Mac/Linux) /Applications/CData JDBC Driver for API Driver/
    • Run the command java -jar cdata.jdbc.apidriver.jar --license
    • Enter your name, email, and "TRIAL" (or your license key).

    4. Configure your connection to the data source (Salesforce as an example):

    • Run the command java -jar cdata.jdbc.apidriver.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.

    5. Create a .prp file for your JDBC connection (e.g. api-driver.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.apidriver.APIDriverDriver)
    • 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
    env
    Prefix=apidriver
          ServerName=CDataAPIDriver
          ServerVersion=1.0
          DriverPath=PATH\TO\cdata.jdbc.apidriver.jar
          DriverClass=cdata.jdbc.apidriver.APIDriverDriver
          JdbcUrl=jdbc:apidriver:InitiateOAuth=GETANDREFRESH;
          Tables=

    Using the Server with Claude Desktop

    1. 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.

    Windows

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

    Linux/Mac

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

    If needed, copy the config file to the appropriate directory (Claude Desktop as the example).

    Windows

    bash
    cp C:\PATH\TO\claude_desktop_config.json %APPDATA%\Claude\claude_desktop_config.json

    Linux/Mac

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

    2. 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

    1. Run the follow the command to run the MCP Server on its own

    bash
    java -jar /PATH/TO/CDataMCP-jar-with-dependencies.jar /PATH/TO/Salesforce.prp
    > **Note:** The server uses `stdio` so can only be used with clients that run on the same machine as the server.
    ## 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. 
    
    #### source_get_tables

    {

    "jsonrpc": "2.0",

    "id": 1,

    "method": "tools/call",

    "params": {

    "name": "source_get_tables",

    "arguments": {}

    }

    }

    code
    #### source_get_columns

    {

    "jsonrpc": "2.0",

    "id": 2,

    "method": "tools/call",

    "params": {

    "name": "source_get_columns",

    "arguments": {

    "table": "Account"

    }

    }

    }

    code
    #### source_run_query

    {

    "jsonrpc": "2.0",

    "id": 3,

    "method": "tools/call",

    "params": {

    "name": "source_run_query",

    "arguments": {

    "sql": "SELECT * FROM [Account] WHERE [IsDeleted] = true"

    }

    }

    }

    code
    ## Troubleshooting
    1. 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)
    2. 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.
    3. If you are having trouble connecting to your data source, contact the [CData Support Team](https://www.cdata.com/support/submit.aspx).
    4. If you are having trouble using the MCP server, or have any other feedback, join the [CData Community](https://community.cdata.com).
    
    ## 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](./LICENSE) file in the project repository.
    
    ## All Supported Sources
    
    AccessAct CRMAct-OnActive Directory
    ActiveCampaignAcumaticaAdobe AnalyticsAdobe Commerce
    ADPAirtableAlloyDBAmazon Athena
    Amazon DynamoDBAmazon MarketplaceAmazon S3Asana
    Authorize.NetAvalara AvaTaxAvroAzure Active Directory
    Azure Analysis ServicesAzure Data CatalogAzure Data Lake StorageAzure DevOps
    Azure SynapseAzure TableBasecampBigCommerce
    BigQueryBing AdsBing SearchBitbucket
    Blackbaud FE NXTBoxBullhorn CRMCassandra
    CertiniaCloudantCockroachDBConfluence
    Cosmos DBCouchbaseCouchDBCSV
    CventDatabricksDB2DocuSign
    DropboxDynamics 365Dynamics 365 Business CentralDynamics CRM
    Dynamics GPDynamics NAVeBayeBay Analytics
    ElasticsearchEmailEnterpriseDBEpicor Kinetic
    Exact OnlineExcelExcel OnlineFacebook
    Facebook AdsFHIRFreshdeskFTP
    GitHubGmailGoogle Ad ManagerGoogle Ads
    Google AnalyticsGoogle CalendarGoogle Campaign Manager 360Google Cloud Storage
    Google ContactsGoogle Data CatalogGoogle DirectoryGoogle Drive
    Google SearchGoogle SheetsGoogle SpannerGraphQL
    GreenhouseGreenplumHarperDBHBase
    HCL DominoHDFSHighriseHive
    HubDBHubSpotIBM Cloud Data EngineIBM Cloud Object Storage
    IBM InformixImpalaInstagramJDBC-ODBC Bridge
    JiraJira AssetsJira Service ManagementJSON
    KafkaKintoneLDAPLinkedIn
    LinkedIn AdsMailChimpMariaDBMarketo
    MarkLogicMicrosoft DataverseMicrosoft Entra IDMicrosoft Exchange
    Microsoft OneDriveMicrosoft PlannerMicrosoft ProjectMicrosoft Teams
    Monday.comMongoDBMYOB AccountRightMySQL
    nCinoNeo4JNetSuiteOData
    OdooOffice 365OktaOneNote
    OracleOracle EloquaOracle Financials CloudOracle HCM Cloud
    Oracle SalesOracle SCMOracle Service CloudOutreach.io
    ParquetPaylocityPayPalPhoenix
    PingOnePinterestPipedrivePostgreSQL
    Power BI XMLAPrestoQuickbaseQuickBooks
    QuickBooks OnlineQuickBooks TimeRaisers Edge NXTReckon
    Reckon Accounts HostedRedisRedshiftREST
    RSSSage 200Sage 300Sage 50 UK
    Sage Cloud AccountingSage IntacctSalesforceSalesforce Data Cloud
    Salesforce Financial Service CloudSalesforce MarketingSalesforce Marketing Cloud Account EngagementSalesforce Pardot
    SalesloftSAPSAP Ariba ProcurementSAP Ariba Source
    SAP Business OneSAP BusinessObjects BISAP ByDesignSAP Concur
    SAP FieldglassSAP HANASAP HANA XS AdvancedSAP Hybris C4C
    SAP Netweaver GatewaySAP SuccessFactorsSAS Data SetsSAS xpt
    SendGridServiceNowSFTPSharePoint
    SharePoint Excel ServicesShipStationShopifySingleStore
    SlackSmartsheetSnapchat AdsSnowflake
    SparkSplunkSQL Analysis ServicesSQL Server
    SquareStripeSugar CRMSuiteCRM
    SurveyMonkeySybaseSybase IQTableau CRM Analytics
    TallyTaxJarTeradataTier1
    TigerGraphTrelloTrinoTwilio
    TwitterTwitter AdsVeeva CRMVeeva Vault
    Wave FinancialWooCommerceWordPressWorkday
    xBaseXeroXMLYouTube Analytics
    ZendeskZoho BooksZoho CreatorZoho CRM
    Zoho InventoryZoho ProjectsZuora... Dozens More

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