Vantage

Name: Vantage
Author: Cavendo-AI

@Cavendo-AI

About Vantage

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

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "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"
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

FAQ from Vantage

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

Comments

More Other MCP servers

MCP Go 🚀

mark3labs

A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.

8.9K

🚀 Model Context Protocol (MCP) Curriculum for Beginners

microsoft

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

16.7K