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Local-first MCP navigator for AI agents. 11,000+ SaaS services, 200 workflow recipes, 89-97% token savings. Works with Claude Code, Cursor, Cline, Zed, Windsurf.

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Documentation

KanseiLink MCP Server

npm version
npm downloads
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> Reduce your AI agent's token waste with collective intelligence.

Your agent burns tokens on three things: searching for SaaS docs it could look up locally, retrying errors other agents already solved, and re-reading context it already processed. KanseiLink tackles the first two — and measures all three so you know exactly where your tokens go.

Measured savings: 89–97% on SaaS integration research (avg ~16,800 tokens without → ~950 with KanseiLink, across 7 services).

How It Works

code
Install MCP → agent wastes fewer tokens (lookup + collective intelligence)
                    ↓
            usage data stays local (opt-in: anonymous scalars only)
                    ↓
            collective intelligence grows → everyone's agent gets smarter

1. Measure — auto-installed hooks track every session: total tokens, cache split, error loops, stuck time. Nothing leaves your machine.

2. Reduce — SaaS lookup eliminates trial-and-error on API integrations. Error-resolution intelligence (coming soon) prevents repeat failures across the community.

3. Compare — opt-in monthly "Wrapped" report shows where your tokens went and how you rank among measured users.

If KanseiLink saves your agent tokens, give it a star ⭐ — 700+ developers install it from npm every month, and stars are how the next one finds it.

Quick Start

bash
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.):

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

Or with Claude Code CLI:

bash
claude mcp add -s user kansei-link -- npx -y @kansei-link/mcp-server

Wrapped: Your Monthly Agent Fuel-Efficiency Report

KanseiLink measures — locally, on your machine — how many tokens your

agent sessions consume and how much of that KanseiLink saved you, then

renders a monthly "Wrapped" share card.

1. Install the measurement hooks (one command, idempotent, backs up

your settings first):

bash
npx -y @kansei-link/mcp-server kansei-link-install-hooks

This adds a `Stop`/`SessionEnd` hook that parses each session transcript

and writes token totals + KanseiLink call stats to

`~/.kansei-link/usage/`. Nothing is uploaded.

2. See your report any time:

bash
npx -y @kansei-link/mcp-server kansei-link-wrapped            # current month (JA)
npx -y @kansei-link/mcp-server kansei-link-wrapped --lang en  # English
npx -y @kansei-link/mcp-server kansei-link-wrapped --share    # opt-in: get your rank

The report separates measured numbers (your total tokens, KanseiLink

call counts and response sizes — parsed from your own transcripts) from

estimated ones (the avoided web-research cost, based on the 2026-04-16

freee/kintone/smarthr benchmark) — labels shown on every surface.

It also shows where your agent got stuck: failed tool calls, retry

chains (2+ consecutive failures of the same tool), the tokens burned

while stuck, and your worst-failing tools.

`--share` submits only scalar monthly aggregates (anonymous id + token

counts, never content) and returns how you rank among measured users

("top X% saver"). Below 20 measured users for the month, you get the

cohort size instead of a rank.

Disable measurement anytime: `export KANSEI_USAGE_HOOK=off`, or

`kansei-link-install-hooks --remove`.

SaaS Integration Intelligence

The core reason agents waste tokens on SaaS APIs: they search docs, guess auth flows, and recover from errors — every single time. KanseiLink ships a local SQLite DB so your agent gets the answer on the first try.

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.

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:

bash
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).

Consent (v1.2, BREAKING). Installing the hook alone no longer transmits

anything. All central transmission is governed by one consent gate

(`~/.kansei-link/consent.json`), with this priority:

`DO_NOT_TRACK=1` / explicit OFF → explicit ON (`KANSEI_REPORT_HOOK=on`) →

Live Updates consent (`npx -y @kansei-link/mcp-server kansei-link-live-updates --enable`) →

default OFF (Local Mode, zero transmission). Existing hook users are OFF

until they re-consent. Manage: `kansei-link-live-updates --status--enable--disable`,
`kansei-link-privacy --status--reset-id`.

What this hook sends when enabled (and what it never sends). A small

pseudonymous event to KanseiLink's hosted endpoint after each MCP tool call. The payload is a fixed

7-field set, frozen by a snapshot test (`scripts/smoke-hook-payload.mjs`):

  • sent: service slug (or MCP server name), success/failure, tool name,

error category (e.g. `auth_error`), a fixed context string

  • never sent: prompts, tool inputs/outputs, page/customer/record names,

API keys, file paths, free text of any kind. No account or machine

identifier is attached.

Installing the hook does NOT opt you in — transmission requires the consent gate above (Live Updates consent, or an explicit `KANSEI_REPORT_HOOK=on`). Disable anytime: `kansei-link-live-updates --disable` or `export KANSEI_REPORT_HOOK=off`.

Add to `~/.claude/settings.json`:

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)

code
search_services --> lookup --> (execute your API call) --> report
ToolModesDescription
`search_services`--Find services by intent (FTS5 + trigram + category boost)
`lookup`8 modesGet tips, detail, insights, recipes, combinations, history, feedback, voices
`report`4 modesReport outcomes, submit feedback, record events, share your voice

Admin Tools (2 additional)

ToolModesDescription
`inspect`8 modesColony health: inspection queue, anomaly verification, update proposals, snapshots
`analyze`4 modesAnalytics: token savings, cost audit, AEO reports and articles

Lookup Modes

ModeTriggerExample
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" })`

Report Modes

ModeTriggerExample
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" })`

Example Workflows

Find and integrate a service:

code
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:

code
lookup({ goal: "create invoice and notify via slack", services: ["freee", "slack"] })
--> Step-by-step recipe with coverage scoring

Share your honest opinion:

code
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

code
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 doubles as an Agent Readiness Index (ARI) evaluation platform. Real agents using real APIs generate objective telemetry — success rates, latency, error patterns, and resolution paths — that no survey or benchmark can replicate.

What we can show you:

  • Agent success rate for your API over time
  • Error patterns and how agents work around them
  • Agent Voice: why agents choose (or avoid) your service
  • Category ranking vs competitors
  • Impact of API changes (before/after analysis)

This data comes from the same MCP that saves individual developers tokens — the collective intelligence that helps agents is the same signal that evaluates services.

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.
  • Measurement stays local: the usage hook writes to `~/.kansei-link/usage/` on your machine. Nothing is uploaded unless you opt in with `--share`, which sends only scalar aggregates (token counts), never content.
  • 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:

bash
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`:

bash
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

bash
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:

code
report({ subject: "Fix: ServiceX auth is OAuth2 not API key", body: "..." })

License

MIT — Synapse Arrows PTE. LTD.

Frequently asked questions

What is kansei-mcp-server?

kansei-mcp-server is Local-first MCP navigator for AI agents. 11,000+ SaaS services, 200 workflow recipes, 89-97% token savings. Works with Claude Code, Cursor, Cline, Zed, Windsurf.

How do I install kansei-mcp-server?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is kansei-mcp-server open source?

Yes — it is hosted on GitHub at https://github.com/kansei-link/kansei-mcp-server and has 1 stars.

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