Kintone Server
Allows you to explore and manipulate kintone data using AI tools such as Claude Desktop!
What is Kintone Server?
Kintone Server is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to allows you to explore and manipulate kintone data using ai tools such as claude desktop!
Allows you to explore and manipulate kintone data using AI tools such as Claude Desktop!
This server falls under the Databases category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Allows you to explore and manipulate kintone data using AI t
Use Cases
Maintainer
Works with
Installation
NPM
npx -y kintoneManual Installation
npx -y kintoneConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Kintone Server
What is Kintone Server?
Kintone Server is a Model Context Protocol (MCP) server that allows you to explore and manipulate kintone data using ai tools such as claude desktop! It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Kintone Server?
Install via npm with the command: npx -y kintone. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Kintone Server?
Kintone Server works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Kintone Server free to use?
Yes, Kintone Server is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Databases MCP Servers
Explore all databases servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Kintone Server in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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