kintone-mcp-server-python3
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This is a sample implementation of an MCP (Model Context Protocol) server for integration with kintone, enabling AI assistants like Claude to read and manipulate kintone data.
The kintone MCP Server is designed to facilitate seamless interaction between AI assistants and the kintone platform. It provides a robust framework for performing CRUD operations on kintone records, managing files, and handling comments and statuses. The server supports secure authentication methods, including API token and password authentication, ensuring that data access is both efficient and secure. With features like automatic pagination and advanced query capabilities, the server is optimized for handling large volumes of data. Additionally, it supports asynchronous processing for faster response times and efficient resource usage. The server is also equipped with comprehensive error handling and internationalization support, making it a versatile tool for global applications.
Features
- Secure Authentication: Supports both API token and password authentication for secure data access.
- Complete CRUD Operations: Allows creation, reading, updating, and deletion of records.
- Advanced Query Functionality: Full support for kintone's query syntax for efficient data retrieval.
- File Management: Supports file upload and download operations.
- Asynchronous Processing: Ensures fast response times and efficient resource usage.
Tools
get_record
Retrieve a single record with detailed information.
get_records
Retrieve a list of records with pagination support.
add_record
Add a new record to the kintone app.
update_record
Update an existing record's information.
upload_file
Upload a file to kintone.