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An intelligence layer for discovering and orchestrating Japanese SaaS MCP tools through intent-based search and workflow recipes. It enables AI agents to evalua
An intelligence layer for discovering and orchestrating Japanese SaaS MCP tools through intent-based search and workflow recipes. It enables AI agents to evaluate service quality using community-driven insights while ensuring privacy through automated PII masking.
Local-first MCP navigator for AI agents. Find, evaluate, and compose MCP tools -- 80% fewer tokens vs trial-and-error.
Your agent wastes thousands of tokens every time it hits a new MCP service: searching docs, guessing auth flows, recovering from errors. KanseiLink eliminates that loop with a local SQLite DB of pre-evaluated services, trust scores, and step-by-step recipes.
Token savings: 89-97% measured across 7 services (avg ~16,800 tokens without → ~950 with KanseiLink).
npx @kansei-link/mcp-server
Works with Claude Code, Cursor, Cline, Zed, Windsurf -- any MCP client.
Add to your config (claude_desktop_config.json, .cursor/mcp.json, etc.):
{
"mcpServers": {
"kansei-link": {
"command": "npx",
"args": ["-y", "@kansei-link/mcp-server"]
}
}
}
Or with Claude Code CLI:
claude mcp add -s user kansei-link -- npx -y @kansei-link/mcp-server
| Count | Description | |
|---|---|---|
| Services | 11,000+ | MCP servers and SaaS APIs across 23 categories (2,257 MCP-verified via handshake) |
| Recipes | 200 | Multi-service workflow compositions (standup, PR review, incident response, onboarding...) |
| API Guides | 199 | Auth setup, endpoints, rate limits, pitfalls, and workarounds |
| Trust Scores | Weekly | Based on automated health probes + real agent usage data |
All data ships inside the npm package as a local SQLite DB. Zero API calls needed. No server dependency, no signup.
| Without KanseiLink | With KanseiLink |
|---|---|
web_search "freee API auth" |
search_services({ intent: "send invoice" }) |
web_fetch docs landing page (SPA, mostly nav) |
lookup({ service_id: "freee" }) |
web_fetch endpoint reference |
Agent has auth flow, pitfalls, workarounds |
web_fetch auth guide |
in ~950 tokens |
| Trial-and-error on wrong params | First try succeeds |
| ~16,800 tokens burned | 89-97% saved |
Installing the MCP alone doesn't teach Claude Code when to call KanseiLink. The bundled skill fixes that:
npx -y @kansei-link/mcp-server kansei-link-install-skill
This copies a SKILL.md to ~/.claude/skills/kansei-link/. Claude Code auto-discovers it and fires the skill on phrases like "connect to Stripe", "Slack MCPある?", "send invoice via freee" -- no need to say "use KanseiLink".
Auto-capture success/failure after every MCP call (agents tend to forget reporting).
Add to ~/.claude/settings.json:
{
"hooks": {
"PostToolUse": [{
"matcher": "mcp__.*",
"hooks": [{ "type": "command", "command": "npx -y @kansei-link/mcp-server kansei-link-report-hook" }]
}]
}
}
Disable anytime: export KANSEI_REPORT_HOOK=off
v1.0 consolidates the tool surface from 25 individual tools into 5 unified tools with mode auto-detection.
search_services --> lookup --> (execute your API call) --> report
| Tool | Modes | Description |
|---|---|---|
search_services |
-- | Find services by intent (FTS5 + trigram + category boost) |
lookup |
8 modes | Get tips, detail, insights, recipes, combinations, history, feedback, voices |
report |
4 modes | Report outcomes, submit feedback, record events, share your voice |
| Tool | Modes | Description |
|---|---|---|
inspect |
8 modes | Colony health: inspection queue, anomaly verification, update proposals, snapshots |
analyze |
4 modes | Analytics: token savings, cost audit, AEO reports and articles |
| Mode | Trigger | Example |
|---|---|---|
| tips (default) | service_id alone |
lookup({ service_id: "freee" }) |
| detail | detail: true |
lookup({ service_id: "freee", detail: true }) |
| insights | insights: true |
lookup({ service_id: "freee", insights: true }) |
| recipe | goal |
lookup({ goal: "onboard employee" }) |
| combinations | service (fuzzy name) |
lookup({ service: "freee" }) |
| history | period |
lookup({ service_id: "freee", period: "30d" }) |
| feedback | feedback_status |
lookup({ feedback_status: "open" }) |
| voices | mode: "voices" |
lookup({ mode: "voices", service_id: "freee" }) |
| Mode | Trigger | Example |
|---|---|---|
| outcome | success (boolean) |
report({ service_id: "freee", success: true }) |
| feedback | subject + body |
report({ subject: "...", body: "..." }) |
| event | event_type |
report({ event_type: "api_change", event_date: "2025-01-15", title: "..." }) |
| voice | question_id |
report({ question_id: "best_feature", response_text: "...", service_id: "freee" }) |
Find and integrate a service:
search_services({ intent: "send invoice to clients", compact: true })
--> lookup({ service_id: "freee" }) // tips: auth, pitfalls, workarounds
--> lookup({ service_id: "freee", detail: true }) // full connection guide
--> (execute your API call)
--> report({ service_id: "freee", success: true, task_type: "create_invoice" })
Multi-service workflow:
lookup({ goal: "create invoice and notify via slack", services: ["freee", "slack"] })
--> Step-by-step recipe with coverage scoring
Share your honest opinion:
report({
service_id: "stripe",
question_id: "biggest_frustration",
response_text: "Webhook signature verification docs are unclear for non-Node runtimes"
})
CRM, Project Management, Communication, Accounting, HR, E-commerce, Legal, Marketing, Groupware, Productivity, Storage, Support, Payment, Logistics, Reservation, Data Integration, BI/Analytics, Security, Developer Tools, AI/ML, Database, Design, DevOps
Agent <-> KanseiLink MCP Server <-> SQLite (local, zero-config)
|
+-- search_services -> FTS5 + trigram (CJK) + LIKE + category detection
+-- lookup -> tips / detail / insights / recipe / combinations /
| history / feedback / voices (auto-detected)
+-- report -> outcome / feedback / event / voice (auto-detected)
+-- inspect -> queue / submit / propose / review / snapshot / evaluate
+-- analyze -> token_savings / cost / aeo_report / aeo_article
KanseiLink can generate intelligence reports showing how AI agents experience your API:
Interested? See kansei-link.com or reach out.
KanseiLink is privacy-preserving by default:
report call scrubs emails, phone numbers, IP addresses, and Japanese names before storage.See SECURITY.md for full details.
ls ~/.claude/skills/kansei-link/SKILL.md
If absent, run npx -y @kansei-link/mcp-server kansei-link-install-skill.kansei-link:claude mcp add -s user kansei-link -- npx -y @kansei-link/mcp-server
search_services returns nothing for a service I know exists.search_services({ intent: "...", category: "accounting" }).report({ subject: "Missing: ServiceX", body: "..." }).lookup({ service_id: "..." }) -- it returns known OAuth pitfalls and refresh-token workarounds.report({ service_id: "...", success: false, error_type: "auth_error", workaround: "..." }) -- your fix helps the next agent.git clone https://github.com/kansei-link/kansei-mcp-server.git
cd kansei-mcp-server
npm install
npm run build
npm start # start stdio server
PRs welcome. If you find a service that's missing or has wrong info, the fastest path is:
report({ subject: "Fix: ServiceX auth is OAuth2 not API key", body: "..." })
io.github.kansei-link/kansei-mcp-serverMIT -- Synapse Arrows PTE. LTD.
Выполни в терминале:
claude mcp add kanseilink-mcp-server -- npx CSA PROJECT - FZCO © 2026 IFZA Business Park, DDP, Premises Number 31174 - 001
Безопасность
Низкий рискАвтоматическая эвристика по публичным данным — не гарантия безопасности.