# io.github.kansei-link/kansei-mcp-server

> Use this tool when you need to discover and orchestrate Japanese SaaS MCP tools, providing an intelligence layer for efficient management. It solves problems related to tool integration and workflow optimization, particularly for AEO (Automation, Efficiency, and Optimization) use cases. The tool accepts input requests for tool discovery and orchestration, outputting optimized workflows and tool configurations.

Canonical page: https://skillsregistry.net/skills/io-github-kansei-link-kansei-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-kansei-link-kansei-mcp-server

## Description

Intelligence layer for discovering and orchestrating Japanese SaaS MCP tools (AEO)

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.2.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.kansei-link%2Fkansei-mcp-server)
- **Repository:** <https://github.com/kansei-link/kansei-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": "io-github-kansei-link-kansei-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-kansei-link-kansei-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-kansei-link-kansei-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