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.

📦 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

# 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

{ "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" } } } }

Replace the environment variables in the configuration:

- KINTONE_SUBDOMAIN: Your Kintone subdomain (e.g.,mycompanyformycompany.cybozu.com)
- KINTONE_USERNAME: Your Kintone username
- KINTONE_PASSWORD: Your Kintone password

After saving the configuration, restart Claude Desktop. You should see a hammer icon indicating that tools are available.

- "List available Kintone apps"
- "Get form fields for app 123"
- "Get records from app 456 with status 'Active'"

- Python 3.10 or higher
- Kintone account with username and password
- Kintone subdomain (e.g.,yourcompany.cybozu.com)

If you want to modify or contribute to this MCP server, follow these development setup instructions.

Option 1: Using uv (Recommended for development)

# 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

git clone https://github.com/luvl/mcp-kintone-lite.git cd mcp-kintone-lite poetry install

KINTONE_SUBDOMAIN=your-subdomain KINTONE_USERNAME=your-username KINTONE_PASSWORD=your-password

First, make sure you have your Kintone credentials configured in your.envfile.

# Run the server directly python src/mcp_kintone_lite/server.py

# Run with Poetry poetry run python src/mcp_kintone_lite/server.py

# Run with UV uv run python src/mcp_kintone_lite/server.py

If you have the MCP CLI installed, you can test your server:

# Test with MCP Inspector mcp inspector # Or run in development mode mcp dev src/mcp_kintone_lite/server.py

# 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

# Upload to production PyPI twine upload --repository pypi --config-file .pypirc dist/ # Test install from production PyPI pip install mcp-kintone-lite

- Update the version inpyproject.toml
- Rebuild:uv buildorpoetry build
- Upload:twine upload --repository pypi --config-file .pypirc dist/*

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