rss mcp servidor pela cdata

servidor-rss-mcp-da-cdata

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

:heavy_exclamation_mark: Este projeto constrói um servidor MCP somente leitura. Para capacidades completas de leitura, escrita, atualização, exclusão e ações, além de uma configuração simplificada, confira nosso Servidor MCP da CData para RSS (beta).

O que é o Servidor RSS MCP?

O Servidor RSS MCP da CData é um servidor especializado projetado para facilitar a consulta de dados ao vivo de feeds RSS usando o Protocolo de Contexto de Modelo (MCP). Ele permite que grandes modelos de linguagem (LLMs), como o Claude Desktop, interajam com dados RSS em um formato de linguagem natural, eliminando a necessidade de consultas SQL. Este servidor atua como uma ponte entre o Driver JDBC da CData para RSS e os LLMs, permitindo a recuperação e interação de dados de forma contínua.

Recursos do Servidor RSS MCP

• Acesso Somente Leitura: O servidor fornece uma interface somente leitura para consultar dados RSS.
• Consultas em Linguagem Natural: Os usuários podem fazer perguntas em linguagem simples, tornando a recuperação de dados intuitiva e amigável.
• Integração com o Driver JDBC da CData: O servidor utiliza o Driver JDBC da CData para RSS, que se conecta a feeds RSS e os expõe como modelos SQL relacionais.
• Configuração Simplificada: O servidor é projetado para fácil instalação e configuração, permitindo que os usuários comecem rapidamente.
• Suporte a Múltiplas Fontes de Dados: O Servidor MCP pode se conectar a várias fontes de dados, aumentando sua versatilidade.

Como Configurar o Servidor RSS MCP

1. Clone o Repositório:

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

2. Construa o Servidor:

   mvn clean install
   

   Isso cria o arquivo JAR: CDataMCP-jar-with-dependencies.jar.

3. Baixe e Instale o Driver JDBC da CData para RSS: Baixe aqui.

4. Licencie o Driver JDBC da CData:

   • Navegue até a pasta lib no diretório de instalação.
   • Execute o comando java -jar cdata.jdbc.rss.jar --license e insira seus dados.

5. Configure Sua Conexão:

   • Use a ferramenta de String de Conexão para configurar a conexão da sua fonte de dados.
   • Crie um arquivo .prp com as propriedades necessárias para sua conexão JDBC.

Perguntas Frequentes

Qual é o propósito do Servidor RSS MCP?

O Servidor RSS MCP permite que LLMs consultem dados RSS ao vivo usando linguagem natural, facilitando o acesso e a análise de informações sem a necessidade de escrever consultas SQL.

Como configuro o servidor para uso com o Claude Desktop?

Você precisa criar um arquivo de configuração (claude_desktop_config.json) que especifique os detalhes do servidor MCP, incluindo o comando para executar o servidor e o caminho para o arquivo de propriedades.

Posso usar o Servidor MCP com outras fontes de dados?

Sim, o Servidor MCP suporta uma ampla gama de fontes de dados, permitindo uma integração flexível e recuperação de dados.

O que devo fazer se encontrar problemas com o servidor?

Se você tiver problemas, certifique-se de que configurou sua conexão corretamente e consulte a Equipe de Suporte da CData para assistência.

O Servidor RSS MCP é gratuito para usar?

A versão somente leitura do Servidor MCP é gratuita, enquanto a versão completa com capacidades adicionais está disponível em beta.

Conclusão

O Servidor RSS MCP da CData é uma ferramenta poderosa para acessar e consultar dados RSS usando linguagem natural. Sua integração com o Driver JDBC da CData e suporte a várias fontes de dados o tornam uma solução versátil para desenvolvedores e analistas de dados. Se você está procurando recuperar dados ao vivo ou integrar-se com LLMs, o Servidor RSS MCP oferece uma abordagem simplificada para interação com dados.

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

1. Clone the repository:

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

2. Build the server:

   mvn clean install
   

   This creates the JAR file: CDataMCP-jar-with-dependencies.jar
3. Download and install the CData JDBC Driver for {source}: https://www.cdata.com/drivers/rss/download/jdbc
4. 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).
5. 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.

6. 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

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

   {
     "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'
   

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

   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

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.
4. 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>