ads-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
ads-mcp by amekala | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 44 | ★ 85,748 |
| 30d uses | — | — |
| Score | 48 | 77 |
| Official | — | ✓ |
| Categories | E-commerceDeveloper ToolsProductivity | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Jupyter Notebook | TypeScript |
| Last commit | this month | this month |
ads-mcp · Summary
MCP server with 175+ tools for managing ad campaigns across Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
ads-mcp · Use cases
- Create and manage ad campaigns across multiple platforms from a single interface
- Analyze campaign performance and get optimization recommendations
- Research keywords with real CPC data and competitive analysis
- Automate scheduled briefs, performance monitors, and cross-platform reports
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
ads-mcp · Install
Installation
Claude Desktop
- Open Settings > Connectors > Add custom connector
- Name: **Ads MCP**
- URL:
https://mcp.adspirer.com/mcp - Complete OAuth 2.1 sign-in
Claude Code
- Run
/plugin marketplace add amekala/ads-mcp - Run
/plugin install adspirer - Run
/mcp— find **plugin:adspirer:adspirer** and click to authenticate
Cursor
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"adspirer": {
"url": "https://mcp.adspirer.com/mcp"
}
}
}Gemini CLI
gemini extensions install github.com/amekala/ads-mcpmemory · 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"]
}
}
}