# Kintone MCP Server

> Kintone MCP Server — r3-yamauchi-kintone-mcp-server. Use this tool when you need to integrate AI assistants with Kintone data through natural language commands, enabling seamless record management, file handling, and app administration. It solves problems of data accessibility and automation, allowing AI assistants like Claude to access and update Kintone data. This server takes natural language inputs and outputs updated Kintone data, making it ideal for use cases that require efficient data management and collaboration.

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

## Description

A Model Context Protocol server that enables Claude and other AI assistants to access and update Kintone data through natural language commands, supporting operations like record management, file handling, app administration, and space collaboration.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dki958qnks)
- **Repository:** <https://github.com/r3-yamauchi/kintone-mcp-server>

## 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"
    }
  }
}
```

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