What AI assistants does it work with?
It works with Claude, ChatGPT, Cursor, and Codex.
@jnuo
基本情報
Mobile-first, voice-first AI life planner with native MCP. Connect from your AI assistant to read your agenda, create and reschedule tasks, break goals into dated steps across sections, and remember your priorities across sessions. Everything syncs to your real Salta on phone and
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"salta": {
"url": "https://mcp.getsalta.app"
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。
Mobile-first, voice-first AI life planner with native MCP. It allows AI assistants to read your agenda, create and reschedule tasks, break goals into dated steps across sections, and remember your priorities across sessions. Everything syncs to your real Salta app on phone and web.
Connect from your AI assistant (Claude, ChatGPT, Cursor, or Codex) to read your agenda, create and reschedule tasks, break goals into dated steps, and maintain priorities. No installation or configuration required—it is free to use.
It works with Claude, ChatGPT, Cursor, and Codex.
Yes, it is completely free.
Yes, everything syncs to your real Salta on phone and web.
You can read your agenda, create and reschedule tasks, break goals into dated steps, and remember priorities.
Yes, it is built mobile-first and voice-first.
An MCP server allowing AI assistants to use a Neo4j knowledge graph as their primary, dynamic instruction manual and long term project memory with adaptive templating and autonomous tool development tools.
A comprehensive Model Context Protocol (MCP) server providing AI assistants with powerful task management and agent memories capabilities with project-specific storage.
MCP server that allow LLM in agent mode builds n8n workflows for you
This is a very basic implementation of an Mcp-Reasoning-Server for Cursor AI .
This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent
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