ig-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
ig-mcp by jlbadano | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 127 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 77 |
| Official | — | ✓ |
| Categories | MediaCommunicationProductivity | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 3 mo ago | this month |
ig-mcp · Summary
Production-ready MCP server enabling AI applications to interact with Instagram Business accounts through the Graph API.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
ig-mcp · Use cases
- Social media managers analyzing engagement metrics and creating content strategies
- Marketing teams automating Instagram content publishing
- Business owners monitoring their Instagram performance through AI assistants
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
ig-mcp · Install
Installation
- Clone the repository:
git clone <repository-url>
cd ig-mcp- Install dependencies:
pip install -r requirements.txt- Set up environment variables:
cp .env.example .env
# Edit .env with your Instagram API credentials- Configure the MCP server:
# Edit config.json with your specific settings- Add to Claude Desktop:
{
"mcpServers": {
"instagram": {
"command": "python",
"args": ["/path/to/ig-mcp/src/instagram_mcp_server.py"],
"env": {
"INSTAGRAM_ACCESS_TOKEN": "your_access_token"
}
}
}
}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"]
}
}
}