Fire in da houseTop Tip:Paying $100+ per month for Perplexity, MidJourney, Runway, ChatGPT and other tools is crazy - get all your AI tools in one site starting at $15 per month with Galaxy AI Fire in da houseCheck it out free

mcp-server-kintone

MCP.Pizza Chef: macrat

The mcp-server-kintone is an MCP server integration designed to connect the kintone platform with AI tools such as Claude Desktop. It enables real-time exploration and manipulation of kintone data through the Model Context Protocol, allowing developers and users to leverage AI capabilities for enhanced data interaction. Installation is straightforward with downloadable executables, and configuration involves setting up MCP clients like Claude Desktop to communicate with the server. This server facilitates seamless AI-enhanced workflows on kintone data, supporting both English and Japanese documentation.

Use This MCP server To

Explore kintone data using AI tools Manipulate kintone records via AI commands Integrate kintone with Claude Desktop for AI workflows Enable real-time AI interaction with kintone data Automate data queries and updates in kintone Bridge kintone data to multiple AI platforms

README

MCP server for kintone

Model Context Protocol (MCP) server for kintone. This server allows you to explore and manipulate kintone data using AI tools such as Claude Desktop!

Japanese version: 日本語の説明はREADME.ja.mdにあります。

Usage

1. Install

Download the latest release from the release page. You can place the executable file anywhere you like.

2. Configure MCP client like Claude Desktop

Configure your client to connect to the server.

For Claude Desktop, please edit file below:

  • MacOS/Linux: ~/Library/Application\ Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the following configuration to the mcpServers section:

{
  "mcpServers": {
    "kintone": {
      "command": "C:\\path\\to\\mcp-server-kintone.exe",
      "env": {
        "KINTONE_BASE_URL": "https://<domain>.cybozu.com",
        "KINTONE_USERNAME": "<your username>",
        "KINTONE_PASSWORD": "<your password>",
        "KINTONE_API_TOKEN": "<your api token>, <another api token>, ...",
        "KINTONE_ALLOW_APPS": "1, 2, 3, ...",
        "KINTONE_DENY_APPS": "4, 5, ..."
      }
    }
  }
}

Environment variables:

  • KINTONE_BASE_URL: (Required) The base URL of your kintone.
  • KINTONE_USERNAME: Your username for kintone.
  • KINTONE_PASSWORD: Your password for kintone.
  • KINTONE_API_TOKEN: Comma separated API token for kintone. You need to set either KINTONE_USERNAME and KINTONE_PASSWORD or KINTONE_API_TOKEN.
  • KINTONE_ALLOW_APPS: A comma-separated list of app IDs that you want to allow access. In default, all apps are allowed.
  • KINTONE_DENY_APPS: A comma-separated list of app IDs that you want to deny access. The deny has a higher priority than the allow.

You may need to restart Claude Desktop to apply the changes.

3. Start to use

Now you can interact with kintone using your own AI tools!

For example, you can say:

  • "What is the latest status of Customer A's project?"
  • "Update the progress of Project B to 50%."
  • "Show me the projects that are behind schedule."

mcp-server-kintone FAQ

How do I install the mcp-server-kintone?
Download the latest executable from the GitHub release page and place it anywhere on your system.
How do I configure Claude Desktop to connect to mcp-server-kintone?
Edit the claude_desktop_config.json file in your user directory and add the mcp-server-kintone configuration under the mcpServers section.
Is there documentation available in languages other than English?
Yes, a Japanese version of the documentation is available in the README.ja.md file on the GitHub repository.
Can mcp-server-kintone work with AI models other than Claude?
Yes, while optimized for Claude Desktop, it supports any MCP-compatible AI tools including those from OpenAI and Gemini.
What environment variables are needed for mcp-server-kintone?
You need to set KINTONE-related environment variables such as API tokens and domain information as specified in the configuration instructions.
Does mcp-server-kintone support real-time data updates?
Yes, it allows real-time exploration and manipulation of kintone data through AI interactions.
Can I run mcp-server-kintone on multiple operating systems?
Yes, executables are available for MacOS, Linux, and Windows platforms.
Is the mcp-server-kintone open source?
Yes, the source code is available on GitHub under an open-source license.