【MCP Server】PostgreSQL × 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 PostgreSQL, configuring the connection to PostgreSQL, 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 PostgreSQL
2. Configure the connection to PostgreSQL
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 PostgreSQL.
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 PostgreSQL.

Step 2: Configure the connection to PostgreSQL

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. "cdatapostgresql") 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 PostgreSQL

   PostgreSQL への接続には、Server、Port（デフォルトは5432）、Database、およびUser、Password のプロパティを設定します。Database プロパティが設定されない場合には、User のデフォルトデータベースに接続します。

   パスワード方式によるSSH 接続

   パスワード方式によるSSH接続時に必要なプロパティ一覧を以下に示します。

   • User: PostgreSQL のユーザ
   • Password: PostgreSQL のパスワード
   • Database: PostgreSQL の接続先データベース
   • Server: PostgreSQL のサーバー
   • Port: PostgreSQL のポート
   • UserSSH: "true"
   • SSHAuthMode: "Password"
   • SSHPort: SSH のポート
   • SSHServer: SSH サーバー
   • SSHUser: SSH ユーザー
   • SSHPassword: SSH パスワード

   接続文字列形式では以下のようになります。

   User=admin;Password=adminpassword;Database=test;Server=postgresql-server;Port=5432;UseSSH=true;SSHPort=22;SSHServer=ssh-server;SSHUser=root;SSHPassword=sshpasswd;

   公開鍵認証方式によるSSH 接続

   公開鍵認証によるSSH接続時に必要なプロパティ一覧を以下に示します。

   • User: PostgreSQL のユーザ
   • Password: PostgreSQL のパスワード
   • Database: PostgreSQL の接続先データベース
   • Server: PostgreSQL のサーバー
   • Port: PostgreSQL のポート
   • UserSSH: "true"
   • SSHAuthMode: "Public_Key"
   • SSHClientCertType: キーストアの種類
   • SSHPort: SSH のポート
   • SSHServer: SSH サーバー
   • SSHUser: SSH ユーザー
   • SSHClientCert: 秘密鍵ファイルのパス

   接続文字列形式では以下のようになります。

   User=admin;Password=adminpassword;Database=test;Server=PostgreSQL-server;Port=5432;UseSSH=true;SSHClientCertType=PEMKEY_FILE;SSHPort=22;SSHServer=ssh-server;SSHUser=root;SSHClientCert=C:\Keys\key.pem;

   Enter the appropriate connection properties in the configuration wizard.

   
5. Click "Connect" to authenticate with PostgreSQL.
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 PostgreSQL のデータ

Now that we have installed the CData MCP Server and configured a connection, we are ready to start with PostgreSQL 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 PostgreSQL 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 PostgreSQL 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.