# kintone MCP Server (Python3)

> Use this tool when you need to interact with kintone data for record management, file handling, and workflow updates. It solves problems of data integration and automation by providing a secure and efficient interface for CRUD operations, file management, and status updates. The tool accepts authentication credentials and query inputs, and outputs kintone data and operation results, making it ideal for AI assistants that require seamless kintone integration.

Canonical page: https://skillsregistry.net/skills/r3-yamauchi-kintone-mcp-server-python3  
JSON: https://api.skillsregistry.net/v1/skills/r3-yamauchi-kintone-mcp-server-python3

## Description

Enables AI assistants to interact with kintone data by providing comprehensive tools for record CRUD operations, file management, and workflow status updates. It supports secure authentication and automatic pagination to handle large datasets efficiently through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/id0mrjw8vq)
- **Repository:** <https://github.com/r3-yamauchi/kintone-mcp-server-python3>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "r3-yamauchi-kintone-mcp-server-python3"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/r3-yamauchi-kintone-mcp-server-python3` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/r3-yamauchi-kintone-mcp-server-python3/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt