# Kintone

> Use this tool when you need to interact with Kintone databases and perform tasks like data analysis, workflow automation, or custom reporting. It provides a standardized interface for AI assistants to list apps, read app info, and perform CRUD operations on records via the Kintone API. Ideal for applications requiring structured data management, business process automation, or enterprise data interaction, this tool simplifies workflow and enables AI systems to access and manipulate Kintone data.

Canonical page: https://skillsregistry.net/skills/macrat-kintonef33b  
JSON: https://api.skillsregistry.net/v1/skills/macrat-kintonef33b

## Description

This MCP server, developed by SHIDA Yuma, enables AI assistants to interact with Kintone databases through a standardized interface. It provides tools for listing apps, reading app info, and performing CRUD operations on records via the Kintone API. The server implements custom permission handling and error checking, offering a simplified workflow for AI systems to access and manipulate Kintone data. By connecting AI capabilities with Kintone's flexible database platform, this implementation empowers AI assistants to perform tasks like data analysis, workflow automation, or custom reporting. It is particularly useful for applications requiring structured data management, business process automation, or any scenario where an AI system needs to interact with and reason about enterprise data stored in Kintone.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/macrat-kintonef33b)
- **Repository:** <https://github.com/macrat/mcp-server-kintone>

## 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": "macrat-kintonef33b"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/macrat-kintonef33b` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/macrat-kintonef33b/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