rss mcp server di cdata

Creato da

CDataSoftware•Jun 25, 2025

Questo server MCP in sola lettura ti consente di connetterti ai dati RSS da Claude Desktop tramite i driver JDBC di CData. Server di lettura/scrittura gratuiti (beta) disponibili su https://www.cdata.com/solutions/mcp

Banche Dati

Panoramica

rss-mcp-server-by-cdata

Il server Model Context Protocol (MCP) di CData per RSS

:heavy_exclamation_mark: Questo progetto costruisce un server MCP in sola lettura. Per funzionalità complete di lettura, scrittura, aggiornamento, eliminazione e azioni, e una configurazione semplificata, dai un'occhiata al nostro CData MCP Server per RSS (beta).

Cos'è il Server RSS MCP?

Il Server RSS MCP di CData è un server specializzato progettato per facilitare la query di dati live dai feed RSS utilizzando il Model Context Protocol (MCP). Permette ai modelli di linguaggio di grandi dimensioni (LLM), come Claude Desktop, di interagire con i dati RSS in un formato di linguaggio naturale, eliminando la necessità di query SQL. Questo server funge da ponte tra il CData JDBC Driver per RSS e gli LLM, consentendo un recupero e un'interazione dei dati senza soluzione di continuità.

Caratteristiche del Server RSS MCP

Accesso in Sola Lettura: Il server fornisce un'interfaccia in sola lettura per interrogare i dati RSS.
Query in Linguaggio Naturale: Gli utenti possono porre domande in linguaggio semplice, rendendo il recupero dei dati intuitivo e user-friendly.
Integrazione con il CData JDBC Driver: Il server utilizza il CData JDBC Driver per RSS, che si connette ai feed RSS ed espone questi come modelli SQL relazionali.
Configurazione Semplificata: Il server è progettato per una facile installazione e configurazione, permettendo agli utenti di iniziare rapidamente.
Supporto per Molteplici Fonti di Dati: Il Server MCP può connettersi a varie fonti di dati, aumentando la sua versatilità.

Come Configurare il Server RSS MCP

Clona il Repository:

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

Costruisci il Server:
```
mvn clean install
```
Questo crea il file JAR: CDataMCP-jar-with-dependencies.jar.
Scarica e Installa il CData JDBC Driver per RSS: Scarica qui.
Licenza il CData JDBC Driver:
- Naviga nella cartella lib nella directory di installazione.
- Esegui il comando java -jar cdata.jdbc.rss.jar --license e inserisci i tuoi dati.
Configura la Tua Connessione:
- Usa l'utility Connection String per impostare la connessione alla tua fonte di dati.
- Crea un file .prp con le proprietà necessarie per la tua connessione JDBC.

Domande Frequenti

Qual è lo scopo del Server RSS MCP?

Il Server RSS MCP consente agli LLM di interrogare dati RSS live utilizzando il linguaggio naturale, rendendo più facile l'accesso e l'analisi delle informazioni senza dover scrivere query SQL.

Come configuro il server per l'uso con Claude Desktop?

Devi creare un file di configurazione (claude_desktop_config.json) che specifica i dettagli del server MCP, inclusi il comando per eseguire il server e il percorso del file delle proprietà.

Posso usare il Server MCP con altre fonti di dati?

Sì, il Server MCP supporta un'ampia gamma di fonti di dati, consentendo un'integrazione flessibile e il recupero dei dati.

Cosa devo fare se incontro problemi con il server?

Se riscontri problemi, assicurati di aver configurato correttamente la tua connessione e consulta il CData Support Team per assistenza.

Il Server RSS MCP è gratuito da usare?

La versione in sola lettura del Server MCP è gratuita, mentre la versione completa con funzionalità aggiuntive è disponibile in beta.

Conclusione

Il Server RSS MCP di CData è uno strumento potente per accedere e interrogare dati RSS utilizzando il linguaggio naturale. La sua integrazione con il CData JDBC Driver e il supporto per varie fonti di dati lo rendono una soluzione versatile per sviluppatori e analisti di dati. Che tu stia cercando di recuperare dati live o di integrarti con LLM, il Server RSS MCP offre un approccio semplificato all'interazione con i dati.

Dettaglio

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>

Configurazione Server

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

Informazioni sul Progetto

Autore

CDataSoftware