kintone MCP Server (Python3)

Name: kintone MCP Server (Python3)
Author: r3-yamauchi

@r3-yamauchi

Repository

About kintone MCP Server (Python3)

No overview available yet

#kintone #mcp-server #python3

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "kintone-mcp-server-python3": {
      "command": "uvx",
      "args": [
        "kintone-mcp-server-python3"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is kintone MCP Server (Python3)?

kintone MCP Server (Python3) is a Model Context Protocol server that integrates with the kintone REST API. It allows AI assistants to fetch records from kintone apps, search for app information, and filter results using queries. The server supports both API token and password authentication, with automatic pagination for large datasets.

How to use kintone MCP Server (Python3)?

Install via uvx kintone-mcp-server-python3 (recommended) or pip install kintone-mcp-server-python3. Set environment variables in a .env file or in the MCP client configuration: KINTONE_SUBDOMAIN (required), KINTONE_AUTH_TYPE (api_token or password), and the corresponding token or credentials. Start the server with uvx kintone-mcp-server-python3 or python3 -m kintone_mcp_server_python3. The server exposes three tools: get_records, get_all_records, and get_apps, all invoked via JSON arguments.

Key features of kintone MCP Server (Python3)

Fetch records from kintone apps with pagination.
Search and retrieve kintone app information.
Supports API token and password authentication.
Automatic pagination handling for large record sets.
Query-based filtering of records.
All API requests use POST with X-HTTP-Method-Override.

Use cases of kintone MCP Server (Python3)

Retrieve specific records from a kintone app filtered by query.
Obtain all records from an app with automatic pagination.
Search for kintone apps by name, ID, code, or space ID.
Integrate kintone data into AI-driven workflows via MCP clients.

FAQ from kintone MCP Server (Python3)

What authentication methods are supported?

The server supports two authentication types: API token authentication (KINTONE_AUTH_TYPE=api_token) and password authentication (KINTONE_AUTH_TYPE=password) with username and password.

How do I configure the server for an MCP client?

Set environment variables in the client configuration under "env". The minimal required variable is KINTONE_SUBDOMAIN, plus either KINTONE_API_TOKEN or KINTONE_USERNAME/KINTONE_PASSWORD. Example configuration using uvx is provided in the README.

What tools does the server provide?

Three tools: get_records (paginated record fetch with limit/offset), get_all_records (fetch all records, auto‑paginated), and get_apps (search app info by name, IDs, codes, or space IDs).

Are there any limits on record fetching?

Yes. get_records has a default limit of 100 and a maximum of 500 records per call. get_apps has a default limit of 100 and a maximum of 100 apps. Both tools support offset for pagination.

What runtime and dependencies are required?

The server is a Python package installable via pip or uv. It requires Python 3 and the dependencies specified in the project (installed automatically). No specific Python version is mentioned beyond Python 3.