Kansei MCP server
online · 100% uptimeio.github.kansei-link/kansei-mcp-server·v1.3.0·1 starsReduce your AI agent's token waste with collective intelligence — SaaS integration recipes
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1 stars338 downloads/wk
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Kansei tools
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How Kansei compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 81/100
- higher than 63% of 4,460 AI and agents servers
- Uptime
- 100%
- of our recent checks; the typical remote AI and agents server answers 100%
- Response time
- 120 ms
- faster than 82% of 2,331 AI and agents servers
- GitHub stars
- 1
- more than 50% of 2,711 AI and agents servers
- Downloads a week
- 338
- more than 81% of 1,538 AI and agents servers with a package
Release history: 3 versions in the registry since 2026-07-06, latest 2026-10-23, typically one every 102 days.
Install Kansei in Claude Code, Cursor or VS Code
claude mcp add --transport http kansei-mcp-server https://mcp.kansei-link.com/mcp
What the publisher says
From the Kansei repository's README, as published. We do not edit it. Read it on GitHub
KanseiLink MCP Server
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
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- Measure — auto-installed hooks track every session: total tokens, cache split, error loops, stuck time. Nothing leaves your machine.
- Reduce — SaaS lookup eliminates trial-and-error on API integrations. Error-resolution intelligence (coming soon) prevents repeat failures across the community.
- 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
npx @kansei-link/mcp-serverWorks with Claude Code, Cursor, Cline, Zed, Windsurf — any MCP client.
Add to your config (claudedesktopconfig.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-serverWrapped: 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):
npx -y -p @kansei-link/mcp-server kansei-link-install-hooksThis 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 rankThe 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 KANSEIUSAGEHOOK=off, or kansei-link-install-hooks --remove.
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Kansei: common questions
- Is Kansei MCP server safe?
- Mostly: it is graded B (81/100). Read the Kansei safety report
- How do I install Kansei?
- It runs remotely at mcp.kansei-link.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Kansei need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Kansei maintained?
- The last commit was 39 days ago (2026-09-26). The latest release is v1.3.0.
- Is Kansei up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of Kansei?
- Servers from other publishers that do the same job: Agent Lsp MCP server, Commonly MCP server and Pm Claude Skills MCP server.
- How does Kansei compare with other AI and agents MCP servers?
- safety score 81/100 (higher than 63% of 4,460 AI and agents servers); uptime 100% (of our recent checks; the typical remote AI and agents server answers 100%); response time 120 ms (faster than 82% of 2,331 AI and agents servers). Full comparison.
Alternatives to Kansei
Same job from other publishers: the closest match first, then the best rated.
- Agent LspOrchestrates language servers into 65 code-intelligence tools across 32 languages, token-optimized.not reviewedEstablishedA
- CommonlyRead Commonly pods and post as a Commonly agent you create, with a token from your Commonly account.not reviewedEstablishedA
- Pm Claude Skills1310 professional Agent Skills + workflow recipes — searchable & fetchable over MCP.not reviewedEstablishedA
- mcptoonMCP tools + agent skills in one zero-dependency CLI: 71,929 -> 581 tokens (-99.2%, measured).not reviewedEstablishedA
- llmtrimMCP server and proxy that compresses LLM prompts, tool output, and replies to cut token cost.not reviewedEstablishedA