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Vantage MCP Server

@Cavendo-AI

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

Cavendo-AI

投稿者

jarehart

Vantage MCP Server について

Vantage is a personal signal store for AI-native work. A place to capture and query the things you notice across the web.

#signals#intel#research

Vantage MCP Server の設定

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": {
    "vantage": {
      "command": "node",
      "args": [
        "/path/to/vantage/mcp-server/src/index.js"
      ],
      "env": {
        "VANTAGE_API_URL": "http://localhost:3020",
        "VANTAGE_API_KEY": "vtg_YOUR_KEY_HERE"
      }
    }
  }
}

Vantage MCP Server のツール

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。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Vantage?

Vantage is a personal signal store for AI-native work — a place to capture and query things you notice across the web. It integrates with AI tools via the Model Context Protocol (MCP), allowing any MCP-compatible client (Claude, Cursor, etc.) to save and retrieve signals from the same shared dataset.

How to use Vantage?

Use the hosted version by signing up at vantage.cavendo.ai and connecting it to an MCP-compatible client, or run the server locally with npm install && npm run dev. After setup, you can save signals (e.g., posts, articles, quotes) using the capture_signal tool and search them with search_signals. The MCP server exposes 13 tools for managing signals, sources, topics, collections, business context, and analysis.

Key features of Vantage

  • Capture signals across platforms (X, LinkedIn, articles)
  • Full‑text search with filters (platform, topic, date, importance)
  • Manage sources, topics, and named collections
  • Upload business context for comparisons
  • Dashboard with counts, top topics, and highlights
  • Hosted or self‑hosted (MIT licensed)

Use cases of Vantage

  • Save a notable post from X and retrieve it later in a conversation
  • Search previously saved signals about “pricing” when evaluating strategy
  • Track competitor moves across articles and discussions
  • Build a shared intelligence feed within an AI‑assisted research workflow
  • Persist analyses and reference them across different AI sessions

よくある質問

1

What makes Vantage different from a scraper or feed?

Vantage is not a scraper, feed, or knowledge base. You choose what to save — it captures only the signals you explicitly mark as important, without noise or algorithmic clutter.

2

What are the runtime and database requirements?

Vantage requires Node.js 20+. It uses SQLite (via better‑sqlite3) as its database, stored by default at `./data/vantage.db`.

3

Where do my signals live?

With the

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