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

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

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

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):

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:

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

... View full README on GitHub