【MCP Server】Presto × Claude Desktop 連携ガイド | AI でデータを徹底活用

Model Context Protocol (MCP) is an emerging, open-source standard for connecting LLMs with external services and data sources. Through MCP Servers, AI clients can perform actions like opening Jira tickets, posting Slack messages, committing GitHub branches and more. With CData MCP Servers, these capabilities expand exponentially.

In this article, we guide the reader through installing the CData MCP Server for Presto, configuring the connection to Presto, and asking questions of the data in Claude Desktop.

Prerequisites

You need to download Claude Desktop (download) and create an account before continuing.

Overview

Here's a quick overview of the steps:

1. Download and install the CData MCP Server for Presto
2. Configure the connection to Presto
3. Ask questions about the data in Claude Desktop

Step 1: Download and install the CData MCP Server

1. To begin, navigate to https://www.cdata.com/solutions/mcp/connectors and download the CData MCP Server for Presto.
2. Find and double-click the installer to begin the installation.
3. Follow the prompts to complete the installation.

When the installation is complete, you are ready to configure your MCP Server by connecting to Presto.

Step 2: Configure the connection to Presto

1. After installation, the CData MCP Server configuration wizard should open automatically.

   NOTE: If the wizard does not open automatically, search for "CData MCP Server" in the Windows search bar and double-click the application.

2. Click the dropdown menu in MCP Configuration > Configuration Name and select ""
3. Name the configuration (e.g. "cdatapresto") and click "OK."

   NOTE: This name is used as the name for the MCP server and as the prefix for all of the MCP Server's tools.

   

4. Connecting to Presto

   Presto への接続には、まずはServer およびPort を接続プロパティとして設定します。それ以外の追加項目は接続方式によって異なります。

   TLS/SSL を有効化するには、UseSSL をTRUE に設定します。

   LDAP で認証

   LDAP で認証するには、次の接続プロパティを設定します:

   • AuthScheme: LDAP に設定。
   • User: LDAP で接続するユーザー名。
   • Password: LDAP で接続するユーザーのパスワード。

   Kerberos 認証

   KERBEROS 認証を使う場合には、以下を設定します:

   • AuthScheme: KERBEROS に設定。
   • KerberosKDC: 接続するユーザーのKerberos Key Distribution Center (KDC) サービス。
   • KerberosRealm: 接続するユーザーのKerberos Realm 。
   • KerberosSPN: Kerberos Domain Controller のService Principal Name。
   • KerberosKeytabFile: Kerberos principals とencrypted keys を含むKeytab file。
   • User: Kerberos のユーザー。
   • Password: Kerberos で認証するユーザーのパスワード。

   Enter the appropriate connection properties in the configuration wizard.

   
5. Click "Connect" to authenticate with Presto.
6. Finally, click "Save Configuration" to save the MCP server.

   NOTE: This saves the configuration details to a separate file and updates the Claude Desktop configuration file (claude_desktop_config.json) to start the CData MCP Server when the Claude Desktop client starts.

With the CData MCP Server configured, you are ready to start asking questions of your live data from Claude.

Step 3: Ask AI for answers from live Presto のデータ

Now that we have installed the CData MCP Server and configured a connection, we are ready to start with Presto のデータ in Claude Desktop.

1. Open Claude Desktop. It may take a moment for the MCP Servers to start, but you will see the list of servers and tools available in the Claude interface (look for the settings icon below the prompt bar).

   You can individually enable and disable specific tools by clicking on the server name.

2. Now that you have connected, you can ask Claude questions about the Presto のデータ. For example: "Can you give me a quantitative analysis about my closed-won opportunities by industry?"

   NOTE: Claude may need to explore the Presto のデータ to make sense of it before it can begin answering questions of the data. The tabular model presented by CData alongside the database tools available simplify the data exploration and analysis for an LLM.

   

Connect your AI to your data today!

CData MCP Servers make it easier than ever for LLMs to work with live enterprise data. To explore the technology hands-on, download a free, 30-day trial or visit the CData Community to share insights, ask questions, and help shape the future of enterprise-ready AI.