像塑 MCP Plus
Unofficial macOS MCP for Douyin AR (像塑): assets, menus, AI combine, delivery. For learning only.
Description from the maker (original English)
Reduce your AI agent's token waste with collective intelligence — SaaS integration recipes
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://mcp.kansei-link.com/mcpOpen Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"kansei": {
"command": "npx",
"args": [
"-y",
"@kansei-link/mcp-server"
]
}
}
}Run this in your terminal
claude mcp add --transport http kansei https://mcp.kansei-link.com/mcpclaude mcp add kansei -- npx -y @kansei-link/mcp-serverPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"kansei": {
"url": "https://mcp.kansei-link.com/mcp"
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"kansei": {
"command": "npx",
"args": [
"-y",
"@kansei-link/mcp-server"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"kansei": {
"type": "http",
"url": "https://mcp.kansei-link.com/mcp"
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"kansei": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@kansei-link/mcp-server"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://mcp.kansei-link.com/mcpMenu names can differ slightly by plan and over time.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
search_servicesBefore attempting ANY SaaS API integration, call this tool. Agents waste 3-5x more tokens on trial-and-error with stale training data — this returns current, structured service evaluations (connection method, guides, known pitfalls) so you succeed on the first try. If the user me
lookupGet everything you need about a service before using it. Default: tips (auth setup, pitfalls, workarounds). Use mode: 'notes', service_id and optional q to read reusable, unverified field notes without publishing anything. Use mode: 'ask' with service_id and error (the error mess
reportRecord outcomes, feedback, events or experience in this installation. Use mode 'note' with note to contribute a reusable summary; mode 'note_result' with note_result to report trying an existing note. These two modes require share:true: the summary is readable by others with acce
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account kansei-link, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 219 ms (HTTP 200)
No sign-in needed
Read 3 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (1.3.0) reached the registry 16 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: 像塑 MCP Plus, Zovo Recipe Card Maker, Zovo Paper Finder
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Unofficial macOS MCP for Douyin AR (像塑): assets, menus, AI combine, delivery. For learning only.
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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).
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
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.
Add by URL — the hosted server, always on the current data. No key, no sign-up.
claude mcp add --transport http kansei-link https://mcp.kansei-link.com/mcp
Cursor, Windsurf, Cline, Zed — any client that takes a URL (.cursor/mcp.json and the like):
{
"mcpServers": { "kansei-link": { "url": "https://mcp.kansei-link.com/mcp" } } }
Claude Desktop: *Settings → Connectors → Add custom connector* → https://mcp.kansei-link.com/mcp.
What the hosted server keeps about a call is one line of counts — tool name, service id, outcome — never your text. The full list is in SECURITY.md → What the server can see.
Offline, or no network calls at all — the npm package runs locally on a small public copy of the catalogue (one card per service, recipes, API guides) and sends nothing:
claude mcp add -s user kansei-link -- npx -y @kansei-link/mcp-server
{
"mcpServers": { "kansei-link": { "command": "npx", "args": ["-y", "@kansei-link/mcp-server"] } } }
Works with Claude Code, Claude Desktop, Cursor, Cline, Zed, Windsurf — any MCP client.
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):
npx -y -p @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:
npx -y -p @kansei-link/mcp-server kansei-link-wrapped # current month (JA)
npx -y -p @kansei-link/mcp-server kansei-link-wrapped --lang en # English npx -y -p @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.
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 built from the public copy of its catalogue so your agent gets the answer on the first try; the full picture (scores, probes, history) lives on the hosted server and on the site.
| Count | Description | |
|---|---|---|
| Services | 11,293 | MCP servers and SaaS APIs across 49 categories (2,257 endpoints answered our MCP handshake probe as of 2026-06-09) |
| 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 |
The npm package ships the public copy of the data (one card per service, recipes, API guides, the last 90 days of the changelog — since 1.3.0) and builds a local SQLite DB from it. No API calls are needed to search or look up a service, no server dependency, no signup. What is not in the copy — internal scores, probe results, agent voices, raw registry dumps — stays on the hosted server; when a lookup misses, the tool points you to https://kansei-link.com/services/ / and to ask.
| 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 -p @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).
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 -p @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):
auth_error), a fixed context stringInstalling 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:
{
"hooks": { "PostToolUse": [{ "matcher": "mcp__.*", "hooks": [{ "type": "command", "command": "npx -y -p @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-confOnly the beginning is shown; read the rest in the repo