kansei-mcp-server AGENTS.md

KanseiLink — Agent Instructions

What is KanseiLink?

KanseiLink is an MCP intelligence layer that helps AI agents discover, evaluate, and orchestrate Japanese SaaS MCP tools. Think of it as a search engine for MCP services, with community-driven quality signals.

Tools

search_services

Find MCP services by what you want to accomplish.

• Input: { intent: "send invoice to client", category?: "accounting", limit?: 5 }
• Returns: Ranked list with trust_score, usage data, and mcp_endpoint

get_recipe

Get structured workflow patterns combining multiple services.

• Input: { goal: "onboard new employee", services?: ["smarthr", "chatwork"] }
• Returns: Step-by-step recipe with input/output mappings and error hints
• The coverage_percent field tells you how many required services you already have

report_outcome

Share your experience after using a service. This builds the knowledge base for all agents.

• Input: { service_id: "freee", success: true, latency_ms: 450, context?: "Created invoice" }
• All context is PII-masked automatically. Your identity is anonymized.
• Returns: Confirmation with list of masked fields

get_insights

Check community data before using an unfamiliar service.

• Input: { service_id: "freee" }
• Returns: success_rate, avg_latency_ms, common_errors, usage_trend, confidence_score

Categories

crm, project_management, communication, accounting, hr, ecommerce

Trust & Safety

• trust_score (0.0-1.0): Based on namespace verification and community outcomes
• confidence_score (0.0-1.0): How reliable the insights data is (more agents + more calls + fresher data = higher confidence)
• PII auto-masking on all text fields in report_outcome
• No raw user data stored

Namespace

io.github.kansei-link/* — verified via GitHub OIDC