meta-mcp vs memory

Side-by-side comparison to help you pick between these two MCP servers.

	meta-mcp by brijr	memory by modelcontextprotocol
Stars	★ 175	★ 85,748
30d uses	—	—
Score	50	77
Official	—	✓
Categories	E-commerceProductivityDeveloper Tools	Knowledge GraphAI / LLM ToolsProductivity
Language	TypeScript	TypeScript
Last commit	2 mo ago	this month

meta-mcp · Summary

A comprehensive MCP server that enables AI assistants to interact with Facebook/Instagram advertising data through the Meta Marketing API.

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

meta-mcp · Use cases

Automating Meta advertising campaigns through AI assistants with full lifecycle management
Analyzing advertising performance metrics and comparing campaigns side-by-side
Creating custom audiences and lookalike audiences for targeted advertising campaigns

memory · Use cases

Personalizing AI assistant interactions by remembering user preferences, history, and relationships
Building context-aware chat applications that maintain conversation history
Creating knowledge bases that persist across AI model sessions

meta-mcp · Install

Installation

Option 1: Direct Installation (Recommended)

npm install -g meta-ads-mcp

Option 2: From Source

git clone https://github.com/wipsoft/meta-mcp.git
cd meta-ads-mcp
npm install
npm run build

Configure Claude Desktop

Create or edit your MCP config:

**macOS**: ~/Library/Application Support/Claude/claude_desktop_config.json
**Windows**: %APPDATA%\Claude\claude_desktop_config.json
**Linux**: ~/.config/Claude/claude_desktop_config.json

Minimal config:

{
  "mcpServers": {
    "meta-ads": {
      "command": "npx",
      "args": ["-y", "meta-ads-mcp"],
      "env": {
        "META_ACCESS_TOKEN": "your_access_token_here"
      }
    }
  }
}

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

{
  "servers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.