MCP server
Kansei-link Kansei Official
io.github.kansei-link/kansei-mcp-server
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
Reduce your AI agent's token waste with collective intelligence — SaaS integration recipes
Working at last checkOfficial: kansei-link.com's GitHub account (kansei-link)About 3,620 tokens per request once connected3 tools
https://mcp.kansei-link.com/mcp
At a glance
- Type
- MCP server
- Publisher
- kansei-link.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 3
- Token cost
- About 3,620 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http kansei-mcp-server https://mcp.kansei-link.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.kansei-mcp-server] url = "https://mcp.kansei-link.com/mcp"
Gemini CLI
{"mcpServers":{"kansei-mcp-server":{"httpUrl":"https://mcp.kansei-link.com/mcp"}}}
Cursor
{"mcpServers":{"kansei-mcp-server":{"url":"https://mcp.kansei-link.com/mcp"}}}
VS Code
{"servers":{"kansei-mcp-server":{"type":"http","url":"https://mcp.kansei-link.com/mcp"}}}
Antigravity
agy mcp add kansei-mcp-server https://mcp.kansei-link.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"kansei-mcp-server","server_url":"https://mcp.kansei-link.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"kansei-mcp-server","server_url":"https://mcp.kansei-link.com/mcp"}
Tools
lookup~871 tokens
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 lookreport~2287 tokens
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 (psearch_services~462 tokens
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 serv
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