# mcp-kintone-lite
Simple and lightweight Kintone MCP server for connecting AI assistants to Kintone applications and data. Perfect for automating workflows and integrating Kintone with AI tools.
[](https://pypi.org/project/mcp-kintone-lite/)
[](https://pypi.org/project/mcp-kintone-lite/)
[](https://opensource.org/licenses/MIT)
[](https://github.com/luvl/mcp-kintone-lite/stargazers)
**📦 Install from PyPI:** `pip install mcp-kintone-lite`
**🔗 PyPI Package:** https://pypi.org/project/mcp-kintone-lite/
**📚 GitHub Repository:** https://github.com/luvl/mcp-kintone-lite
## Demo
See the MCP Kintone Lite server in action with Claude Desktop:
*The demo shows Claude Desktop using the MCP server to interact with Kintone data - querying apps, retrieving records, and performing CRUD operations seamlessly.*
## Overview
This MCP (Model Context Protocol) server provides AI assistants like Claude with secure access to Kintone applications and data. It implements the MCP standard to enable seamless integration between AI applications and Kintone's business process platform.
## Features
- 🔐 Secure Kintone authentication via Basic Authentication (username/password)
- 📊 Access to all Kintone apps (based on user permissions)
- 🔍 Query execution with filtering and pagination
- 📝 CRUD operations on Kintone records
- 🛡️ Built-in security and validation
- 🚀 Easy setup and configuration
## Quick Usage
```bash
# Install the package
pip install mcp-kintone-lite
# Use with Claude Desktop (recommended)
uvx --from mcp-kintone-lite mcp-kintone-lite
# Or run directly
mcp-kintone-lite
```
**Works with:** Claude Desktop, any MCP-compatible AI assistant
## Quick Start with Claude Desktop
### Production Usage (Recommended)
The easiest way to use this MCP server is to install it directly from PyPI and configure it with Claude Desktop.
#### Step 1: Configure Claude Desktop
Add the following configuration to your Claude Desktop settings file:
**Configuration File Location:**
- **macOS/Linux:** `~/Library/Application Support/Claude/claude_desktop_config.json`
- **Windows:** `%APPDATA%\Claude\claude_desktop_config.json`
**Configuration:**
```json
{
"mcpServers": {
"kintone-lite": {
"command": "uvx",
"args": [
"--from",
"mcp-kintone-lite",
"mcp-kintone-lite"
],
"env": {
"KINTONE_SUBDOMAIN": "your-subdomain",
"KINTONE_USERNAME": "your-username",
"KINTONE_PASSWORD": "your-password"
}
}
}
}
```
#### Step 2: Set Up Kintone Credentials
Replace the environment variables in the configuration:
- `KINTONE_SUBDOMAIN`: Your Kintone subdomain (e.g., `mycompany` for `mycompany.cybozu.com`)
- `KINTONE_USERNAME`: Your Kintone username
- `KINTONE_PASSWORD`: Your Kintone password
#### Step 3: Restart Claude Desktop
After saving the configuration, restart Claude Desktop. You should see a hammer icon indicating that tools are available.
#### Step 4: Test the Integration
Try asking Claude:
- "List available Kintone apps"
- "Get form fields for app 123"
- "Get records from app 456 with status 'Active'"
## Prerequisites
- Python 3.10 or higher
- Kintone account with username and password
- Kintone subdomain (e.g., `yourcompany.cybozu.com`)
## Development Setup
If you want to modify or contribute to this MCP server, follow these development setup instructions.
### Installation
#### Option 1: Using uv (Recommended for development)
```bash
# Install uv if you haven't already
brew install uv # macOS
# or
curl -LsSf https://astral.sh/uv/install.sh | sh # Linux/macOS
# Clone and install the server
git clone https://github.com/luvl/mcp-kintone-lite.git
cd mcp-kintone-lite
uv sync
```
#### Option 2: Using Poetry
```bash
git clone https://github.com/luvl/mcp-kintone-lite.git
cd mcp-kintone-lite
poetry install
```
### Kintone Development Setup
Create a `.env` file in the project root:
```env
KINTONE_SUBDOMAIN=your-subdomain
KINTONE_USERNAME=your-username
KINTONE_PASSWORD=your-password
```
## Usage
### Development Mode
First, make sure you have your Kintone credentials configured in your `.env` file.
#### Method 1: Direct Python Execution
```bash
# Run the server directly
python src/mcp_kintone_lite/server.py
```
#### Method 2: Using Poetry
```bash
# Run with Poetry
poetry run python src/mcp_kintone_lite/server.py
```
#### Method 3: Using UV (Recommended)
```bash
# Run with UV
uv run python src/mcp_kintone_lite/server.py
```
### Testing with MCP Inspector
If you have the MCP CLI installed, you can test your server:
```bash
# Test with MCP Inspector
mcp inspector
# Or run in development mode
mcp dev src/mcp_kintone_lite/server.py
```
### Publishing Process
1. **Test on TestPyPI first**:
```bash
# Build the package
uv build
# or: poetry build
# Upload to TestPyPI
twine upload --repository testpypi --config-file .pypirc dist/*
# Test install from TestPyPI
pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple/ mcp-kintone-lite
```
2. **Publish to Production PyPI**:
```bash
# Upload to production PyPI
twine upload --repository pypi --config-file .pypirc dist/*
# Test install from production PyPI
pip install mcp-kintone-lite
```
### Version Management
To publish a new version:
1. Update the version in `pyproject.toml`
2. Rebuild: `uv build` or `poetry build`
3. Upload: `twine upload --repository pypi --config-file .pypirc dist/*`
