Reduce your AI agent's token waste with collective intelligence — SaaS integration recipes
| Endpoint | https://mcp.kansei-link.com/mcp (streamable-http) |
|---|---|
| Registry version | 1.3.0 |
| Now | 3 tools · grade A (97) · pin ts_0c6192b045d98af0ee379ceb8ddfd1ac · protocol 2025-06-18 |
| First / last listed | 2026-10-27 04:54 UTC / 2026-10-27 04:54 UTC |
| Grade over time | 2026-10-27: A (97), 3 tools |
Is this your server? Own a server? ToolFit hosted watch re-checks it every 24 h ($0.25 per 30 days) or 6 h ($0.60) and sends you an HMAC-signed webhook when its tools or grade change: POST https://api.youraitools.co/toolfit/v1/watch. To opt out, see About & opt-out.
Tools: search_services lookup report
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 params: intent*, category, agent_ready, limit, compact |
lookup | Get 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 message you got) to look up checked fixes for that error; read-only, nothing is published. Add detail: true for full connect params: service_id, goal, services, service, period, compare_with, detail, insights, mode, note_scope, q, error, runtime, feedback_status, feedback_type, feedback_limit, voice_question_filter, voice_agent_type |
report | Record 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 access to this server (public on the hosted server). A local stdio installation does not upload it. Share only with user aut params: mode, note, note_result, service_id, agent_id, agent_type, success, latency_ms, error_type, workaround, context, is_retry, estimated_users, model_name, task_type, input_tokens, output_tokens, cost_usd, attempt_id, recipe_id, recipe_version, failed_step, note_id, provider_request_id, provider_request_id_source, session_id, provider_error_code, feedback_type, subject, body, priority, event_date, event_type, title, description, impact_expected, question_id, response_choice, response_text, confidence |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.