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io.github.kansei-link/kansei-mcp-server
io.github.kansei-link/kansei-mcp-server · v1.3.0
New (7 days)
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Can write (some tools are not declared read-only) |
| Capabilities declared | completions, prompts, resources, tools |
| Tool definitions | 3 tools · with description 100% · input schema is an object 100% · read/destructive hints 100% |
Description written by the publisher, not verified
Reduce your AI agent's token waste with collective intelligence — SaaS integration recipes
Connect
streamable-http · https://mcp.kansei-link.com/mcp
claude mcp add --transport http kansei-mcp-server https://mcp.kansei-link.com/mcp{
"mcpServers": {
"kansei-mcp-server": {
"url": "https://mcp.kansei-link.com/mcp"
}
}
}Tools as reported by the server
search_servicesBefore 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 servlookupGet 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 lookreportRecord 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 (p
Repository · JSON · Text for agents · Registry updated 2026-10-23