kansei-mcp-server

> MCP intelligence layer for discovering and orchestrating Japanese SaaS MCP tools.

KanseiLink helps AI agents find, evaluate, and combine Japanese SaaS services through the Model Context Protocol. It provides intent-based search, workflow recipes, change detection, and community-driven quality insights.

📝 [Zenn記事: MCPサーバーが増えすぎて困ったので、MCPを整理するMCPサーバーを作った](https://zenn.dev/kanseilink/articles/e7016299cb9ef1)

npx @kansei-link/mcp-server

Or add to your MCP client config:

{
  "mcpServers": {
    "kansei-link": {
      "command": "npx",
      "args": ["@kansei-link/mcp-server"]
    }
  }
}

| Tool | Description | |------|-------------| | search_services | Find Japanese SaaS MCPs by intent (FTS5 + category boost) | | get_recipe | Get workflow patterns combining multiple services | | find_combinations | Reverse lookup — find recipes containing a specific service | | check_updates | Check recent changes and breaking updates for a service | | report_outcome | Share your experience with auto PII masking | | get_insights | Check community usage data and confidence scores |

CRM, Project Management, Communication, Accounting, HR, E-commerce

Agent ←→ KanseiLink MCP Server ←→ SQLite (local)
              ↓
         search_services   → FTS5 + intent→category mapping
         get_recipe        → Workflow pattern matching
         find_combinations → Reverse recipe lookup
         check_updates     → Changelog query
         report_outcome    → PII masking → outcomes table
         get_insights      → Aggregation + confidence scoring

npm install
npm run build
npm run seed    # populate with Japanese SaaS MCP data
npm start       # start stdio server

• PII auto-masking (Japanese kanji/katakana names, email, phone, IP)
• Agent identity anonymized
• See SECURITY.md for full policy