rss mcp servidor por cdata

Creado por

CDataSoftware•Jun 25, 2025

Este servidor MCP de solo lectura te permite conectarte a datos RSS desde Claude Desktop a través de los controladores JDBC de CData. Servidores de lectura/escritura gratuitos (beta) disponibles en https://www.cdata.com/solutions/mcp

Bases de Datos

Resumen

servidor-rss-mcp-de-cdata

Servidor de Protocolo de Contexto de Modelo (MCP) de CData para RSS

:heavy_exclamation_mark: Este proyecto construye un servidor MCP de solo lectura. Para capacidades completas de lectura, escritura, actualización, eliminación y acción, así como una configuración simplificada, consulta nuestro Servidor MCP de CData para RSS (beta).

¿Qué es el Servidor RSS MCP?

El Servidor RSS MCP de CData es un servidor especializado diseñado para facilitar la consulta de datos en vivo desde feeds RSS utilizando el Protocolo de Contexto de Modelo (MCP). Permite que modelos de lenguaje grande (LLMs), como Claude Desktop, interactúen con datos RSS en un formato de lenguaje natural, eliminando la necesidad de consultas SQL. Este servidor actúa como un puente entre el Controlador JDBC de CData para RSS y los LLMs, permitiendo la recuperación e interacción de datos sin problemas.

Características del Servidor RSS MCP

Acceso de Solo Lectura: El servidor proporciona una interfaz de solo lectura para consultar datos RSS.
Consultas en Lenguaje Natural: Los usuarios pueden hacer preguntas en lenguaje sencillo, lo que hace que la recuperación de datos sea intuitiva y fácil de usar.
Integración con el Controlador JDBC de CData: El servidor utiliza el Controlador JDBC de CData para RSS, que se conecta a feeds RSS y los expone como modelos SQL relacionales.
Configuración Simplificada: El servidor está diseñado para una instalación y configuración fáciles, permitiendo a los usuarios comenzar rápidamente.
Soporte para Múltiples Fuentes de Datos: El Servidor MCP puede conectarse a varias fuentes de datos, mejorando su versatilidad.

Cómo Configurar el Servidor RSS MCP

Clona el Repositorio:

git clone https://github.com/cdatasoftware/rss-mcp-server-by-cdata.git
cd rss-mcp-server-by-cdata

Construye el Servidor:
```
mvn clean install
```
Esto crea el archivo JAR: CDataMCP-jar-with-dependencies.jar.
Descarga e Instala el Controlador JDBC de CData para RSS: Descargar aquí.
Licencia el Controlador JDBC de CData:
- Navega a la carpeta lib en el directorio de instalación.
- Ejecuta el comando java -jar cdata.jdbc.rss.jar --license e ingresa tus datos.
Configura Tu Conexión:
- Utiliza la utilidad de Cadena de Conexión para configurar la conexión a tu fuente de datos.
- Crea un archivo .prp con las propiedades necesarias para tu conexión JDBC.

Preguntas Frecuentes

¿Cuál es el propósito del Servidor RSS MCP?

El Servidor RSS MCP permite a los LLMs consultar datos RSS en vivo utilizando lenguaje natural, facilitando el acceso y análisis de información sin necesidad de escribir consultas SQL.

¿Cómo configuro el servidor para usarlo con Claude Desktop?

Necesitas crear un archivo de configuración (claude_desktop_config.json) que especifique los detalles del servidor MCP, incluyendo el comando para ejecutar el servidor y la ruta al archivo de propiedades.

¿Puedo usar el Servidor MCP con otras fuentes de datos?

Sí, el Servidor MCP admite una amplia gama de fuentes de datos, lo que permite una integración flexible y recuperación de datos.

¿Qué debo hacer si encuentro problemas con el servidor?

Si experimentas problemas, asegúrate de haber configurado correctamente tu conexión y consulta al Equipo de Soporte de CData para obtener asistencia.

¿Es gratuito el uso del Servidor RSS MCP?

La versión de solo lectura del Servidor MCP es gratuita, mientras que la versión completa con capacidades adicionales está disponible en beta.

Conclusión

El Servidor RSS MCP de CData es una herramienta poderosa para acceder y consultar datos RSS utilizando lenguaje natural. Su integración con el Controlador JDBC de CData y el soporte para diversas fuentes de datos lo convierten en una solución versátil para desarrolladores y analistas de datos. Ya sea que busques recuperar datos en vivo o integrarte con LLMs, el Servidor RSS MCP proporciona un enfoque simplificado para la interacción con los datos.

Detalle

rss-mcp-server-by-cdata

CData's Model Context Protocol (MCP) Server for RSS

: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 RSS (beta).

Purpose

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

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

This server wraps that driver and makes RSS 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:

git clone https://github.com/cdatasoftware/rss-mcp-server-by-cdata.git
cd rss-mcp-server-by-cdata

Build the server:
```
mvn clean install
```
This creates the JAR file: CDataMCP-jar-with-dependencies.jar
Download and install the CData JDBC Driver for {source}: https://www.cdata.com/drivers/rss/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 RSS\
  - (Mac/Linux) /Applications/CData JDBC Driver for RSS/
- Run the command java -jar cdata.jdbc.rss.jar --license
- Enter your name, email, and "TRIAL" (or your license key).
Configure your connection to the data source (Salesforce as an example):
- Run the command java -jar cdata.jdbc.rss.jar to open the Connection String utility.
  <img src="https://github.com/user-attachments/assets/a5b5237b-79c1-472c-8c2f-3f9eb1ac9627" title="CData JDBC Driver Connectiong String utility." width=384px />
- 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.
Create a .prp file for your JDBC connection (e.g. rss.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.rss.RSSDriver)
- 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
```
Prefix=rss
ServerName=CDataRSS
ServerVersion=1.0
DriverPath=PATH\TO\cdata.jdbc.rss.jar
DriverClass=cdata.jdbc.rss.RSSDriver
JdbcUrl=jdbc:rss:InitiateOAuth=GETANDREFRESH;
Tables=
```

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.

Windows

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

Linux/Mac

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

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

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

Linux/Mac

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

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

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": {}
    }
}

source_get_columns

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

source_run_query

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

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

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

Configuración del Servidor

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

Información del Proyecto

Autor

CDataSoftware

servidor-rss-mcp-de-cdata

Servidor de Protocolo de Contexto de Modelo (MCP) de CData para RSS

¿Qué es el Servidor RSS MCP?

Características del Servidor RSS MCP

Acceso de Solo Lectura: El servidor proporciona una interfaz de solo lectura para consultar datos RSS.
Consultas en Lenguaje Natural: Los usuarios pueden hacer preguntas en lenguaje sencillo, lo que hace que la recuperación de datos sea intuitiva y fácil de usar.
Integración con el Controlador JDBC de CData: El servidor utiliza el Controlador JDBC de CData para RSS, que se conecta a feeds RSS y los expone como modelos SQL relacionales.
Configuración Simplificada: El servidor está diseñado para una instalación y configuración fáciles, permitiendo a los usuarios comenzar rápidamente.
Soporte para Múltiples Fuentes de Datos: El Servidor MCP puede conectarse a varias fuentes de datos, mejorando su versatilidad.

Cómo Configurar el Servidor RSS MCP

Clona el Repositorio:

git clone https://github.com/cdatasoftware/rss-mcp-server-by-cdata.git
cd rss-mcp-server-by-cdata

Construye el Servidor:
```
mvn clean install
```
Esto crea el archivo JAR: CDataMCP-jar-with-dependencies.jar.
Descarga e Instala el Controlador JDBC de CData para RSS: Descargar aquí.
Licencia el Controlador JDBC de CData:
- Navega a la carpeta lib en el directorio de instalación.
- Ejecuta el comando java -jar cdata.jdbc.rss.jar --license e ingresa tus datos.
Configura Tu Conexión:
- Utiliza la utilidad de Cadena de Conexión para configurar la conexión a tu fuente de datos.
- Crea un archivo .prp con las propiedades necesarias para tu conexión JDBC.

Preguntas Frecuentes

¿Cuál es el propósito del Servidor RSS MCP?

El Servidor RSS MCP permite a los LLMs consultar datos RSS en vivo utilizando lenguaje natural, facilitando el acceso y análisis de información sin necesidad de escribir consultas SQL.

¿Cómo configuro el servidor para usarlo con Claude Desktop?

¿Puedo usar el Servidor MCP con otras fuentes de datos?

Sí, el Servidor MCP admite una amplia gama de fuentes de datos, lo que permite una integración flexible y recuperación de datos.

¿Qué debo hacer si encuentro problemas con el servidor?

Si experimentas problemas, asegúrate de haber configurado correctamente tu conexión y consulta al Equipo de Soporte de CData para obtener asistencia.

¿Es gratuito el uso del Servidor RSS MCP?

La versión de solo lectura del Servidor MCP es gratuita, mientras que la versión completa con capacidades adicionales está disponible en beta.

Conclusión

Detalle

rss-mcp-server-by-cdata

CData's Model Context Protocol (MCP) Server for RSS

Purpose

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

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

This server wraps that driver and makes RSS 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:

git clone https://github.com/cdatasoftware/rss-mcp-server-by-cdata.git
cd rss-mcp-server-by-cdata

Build the server:
```
mvn clean install
```
This creates the JAR file: CDataMCP-jar-with-dependencies.jar
Download and install the CData JDBC Driver for {source}: https://www.cdata.com/drivers/rss/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 RSS\
  - (Mac/Linux) /Applications/CData JDBC Driver for RSS/
- Run the command java -jar cdata.jdbc.rss.jar --license
- Enter your name, email, and "TRIAL" (or your license key).
Configure your connection to the data source (Salesforce as an example):
- Run the command java -jar cdata.jdbc.rss.jar to open the Connection String utility.
  <img src="https://github.com/user-attachments/assets/a5b5237b-79c1-472c-8c2f-3f9eb1ac9627" title="CData JDBC Driver Connectiong String utility." width=384px />
- 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.
Create a .prp file for your JDBC connection (e.g. rss.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.rss.RSSDriver)
- 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
```
Prefix=rss
ServerName=CDataRSS
ServerVersion=1.0
DriverPath=PATH\TO\cdata.jdbc.rss.jar
DriverClass=cdata.jdbc.rss.RSSDriver
JdbcUrl=jdbc:rss:InitiateOAuth=GETANDREFRESH;
Tables=
```

Using the Server with Claude Desktop

Windows

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

Linux/Mac

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

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

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

Linux/Mac

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

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

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

"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

source_get_tables

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

source_get_columns

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

source_run_query

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

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

All Supported Sources

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