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Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

Kansei Mcp Server

kansei-link/kansei-mcp-server
1STDIO, HTTPregistry active
Summary

A searchable intelligence layer for navigating 1,000+ SaaS and API services when you need to integrate something but don't know which provider to pick or how reliable it is. Instead of Googling "invoice API" and guessing, your agent searches by intent, gets trust scores based on real agent usage data, pulls connection guides with auth setup and gotchas, and reports outcomes back to the community. Comes with 188 workflow recipes for multi-service pipelines like "create invoice in freee and notify via Slack". The full service database ships locally in the npm package with FTS5 search, so no API keys or external calls required. Install the bundled skill and Claude Code will automatically invoke it when you mention service names or integration tasks.

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Keep your Mac awake
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One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
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KanseiLink MCP Server

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).

Quick Start

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

What's Inside

CountDescription
Services11,000+MCP servers and SaaS APIs across 23 categories (2,257 MCP-verified via handshake)
Recipes200Multi-service workflow compositions (standup, PR review, incident response, onboarding...)
API Guides199Auth setup, endpoints, rate limits, pitfalls, and workarounds
Trust ScoresWeeklyBased 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.

Why Not Just Read the Docs?

Without KanseiLinkWith 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 referenceAgent has auth flow, pitfalls, workarounds
web_fetch auth guidein ~950 tokens
Trial-and-error on wrong paramsFirst try succeeds
~16,800 tokens burned89-97% saved

Claude Code: install the skill (auto-invocation)

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".

Optional: PostToolUse hook

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

Tools (5)

v1.0 consolidates the tool surface from 25 individual tools into 5 unified tools with mode auto-detection.

Standard Flow (3 tools -- all you need)

search_services --> lookup --> (execute your API call) --> report
ToolModesDescription
search_services--Find services by intent (FTS5 + trigram + category boost)
lookup8 modesGet tips, detail, insights, recipes, combinations, history, feedback, voices
report4 modesReport outcomes, submit feedback, record events, share your voice

Admin Tools (2 additional)

ToolModesDescription
inspect8 modesColony health: inspection queue, anomaly verification, update proposals, snapshots
analyze4 modesAnalytics: token savings, cost audit, AEO reports and articles

Lookup Modes

ModeTriggerExample
tips (default)service_id alonelookup({ service_id: "freee" })
detaildetail: truelookup({ service_id: "freee", detail: true })
insightsinsights: truelookup({ service_id: "freee", insights: true })
recipegoallookup({ goal: "onboard employee" })
combinationsservice (fuzzy name)lookup({ service: "freee" })
historyperiodlookup({ service_id: "freee", period: "30d" })
feedbackfeedback_statuslookup({ feedback_status: "open" })
voicesmode: "voices"lookup({ mode: "voices", service_id: "freee" })

Report Modes

ModeTriggerExample
outcomesuccess (boolean)report({ service_id: "freee", success: true })
feedbacksubject + bodyreport({ subject: "...", body: "..." })
eventevent_typereport({ event_type: "api_change", event_date: "2025-01-15", title: "..." })
voicequestion_idreport({ question_id: "best_feature", response_text: "...", service_id: "freee" })

Example Workflows

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"
})

Categories (23)

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

Architecture

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

For SaaS Companies

KanseiLink can generate intelligence reports showing how AI agents experience your API:

  • Success rate, latency, error patterns over time
  • Agent Voice: selection criteria, frustrations, recommendations
  • Category ranking vs competitors
  • Impact of API changes (before/after analysis)

Interested? See kansei-link.com or reach out.

Privacy & Data Handling

KanseiLink is privacy-preserving by default:

  • Local-first: the full service DB ships inside the npm package. No API calls needed.
  • PII auto-masking: every report call scrubs emails, phone numbers, IP addresses, and Japanese names before storage.
  • Agent identity anonymized: only the agent type (claude / gpt / gemini) is retained -- never the user ID.
  • No telemetry by default: the local stdio server does not phone home.

See SECURITY.md for full details.

Troubleshooting

The skill isn't firing -- Claude Code doesn't call KanseiLink when I ask about SaaS.
  1. Verify the skill was installed:
    ls ~/.claude/skills/kansei-link/SKILL.md
    
    If absent, run npx -y @kansei-link/mcp-server kansei-link-install-skill.
  2. Restart Claude Code. Skills are indexed on session start.
  3. Check that the MCP is registered under the name 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.
  1. Try category filter: search_services({ intent: "...", category: "accounting" }).
  2. Try the English equivalent -- most entries are indexed bilingually, but some only in EN.
  3. If the service truly isn't there, submit feedback: report({ subject: "Missing: ServiceX", body: "..." }).
Auth error when calling a SaaS endpoint after KanseiLink suggests it.
  1. Start with lookup({ service_id: "..." }) -- it returns known OAuth pitfalls and refresh-token workarounds.
  2. Report the failure: report({ service_id: "...", success: false, error_type: "auth_error", workaround: "..." }) -- your fix helps the next agent.

Contributing

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: "..." })

Links

  • npm
  • Website
  • MCP Registry: io.github.kansei-link/kansei-mcp-server
  • Glama

License

MIT -- Synapse Arrows PTE. LTD.

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Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
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Registryactive
Package@kansei-link/mcp-server
TransportSTDIO, HTTP
UpdatedJun 10, 2026
View on GitHub