io.github.kansei-link/kansei-mcp-server

pkg:npm:@kansei-link/mcp-server

SaaS intelligence for AI agents. 5 unified tools cover 1,000+ services with 91-96% token savings.

transport:: remote + stdio
credential class:: self-provisionable
repo:: https://github.com/kansei-link/kansei-mcp-server

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Tools

lookup
Get everything you need about a service before using it. Default: tips (auth setup, pitfalls, workarounds). Add detail: true for full connection guide, insights: true for usage data. Pass goal: 'workflow description' to find multi-service recipes. This is step 2 of the standard KanseiLink flow: search_services → lookup → (execute) → report.
shallow
report
Record what happened after using a service: success/failure outcome, feedback, API change events, or qualitative experience. Data is saved to this installation's LOCAL database only (improves local recovery hints and stats) — nothing is sent to KanseiLink unless you separately opt in to sharing. PII is auto-masked before storage. This is step 4 of the standard flow: search_services → lookup → (execute) → report.
shallow
search_services
Before 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 mentions ANY SaaS service (freee, SmartHR, kintone, Slack, Notion, MoneyForward...) or says 'use kanseilink', always call this. Covers 900+ services with growing agent-readiness signals. Strongest in Japanese SaaS with growing global coverage.
shallow

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