Reduce your AI agent's token waste with collective intelligence — SaaS integration recipes, error resolution, and monthly efficiency reports
Reduce your AI agent's token waste with collective intelligence — SaaS integration recipes, error resolution, and monthly efficiency reports
Your agent burns tokens on three things: searching for SaaS docs it could look up locally, retrying errors other agents already solved, and re-reading context it already processed. KanseiLink tackles the first two — and measures all three so you know exactly where your tokens go.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| search_services | -- |
| lookup | 8 modes |
| report | 4 modes |
| inspect | 8 modes |
| analyze | 4 modes |
{
"mcpServers": {
"kansei-link": {
"command": "npx",
"args": [
"-y",
"@kansei-link/mcp-server"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Integrates Flux's image generation capabilities into AI coding assistants, enabling image generation, manipulation, and control directly within IDEs.
Model Context Protocol server for the PropLine player props betting odds API. Exposes live odds, prop resolution, cross-book +EV, scores, and
A GitOps Model Context Protocol (MCP) Server.
Compliance verdicts for AI-generated code. SOC 2, HIPAA, HITRUST for healthcare IT.