Vantage MCP Server

@Cavendo-AI

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

Cavendo-AI

提交者

jarehart

关于 Vantage MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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.

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`.

Where do my signals live?

With the

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