memory vs mcp-meme-sticky
Side-by-side comparison to help you pick between these two MCP servers.
memory by modelcontextprotocol | mcp-meme-sticky by nkapila6 | |
|---|---|---|
| Stars | ★ 85,748 | ★ 13 |
| 30d uses | — | — |
| Score | 77 | 38 |
| Official | ✓ | — |
| Categories | Knowledge GraphAI / LLM ToolsProductivity | AI / LLM ToolsMediaCommunication |
| Language | TypeScript | Python |
| Last commit | this month | 5 mo ago |
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
mcp-meme-sticky · Summary
Python MCP server for creating AI-generated memes and converting them to Telegram stickers.
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
mcp-meme-sticky · Use cases
- Quickly generate custom memes based on prompts without leaving your MCP client
- Create and share Telegram stickers from meme images automatically
- Integrate meme generation into AI workflows for creative content production
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"]
}
}
}mcp-meme-sticky · Install
Installation using uvx:
{
"mcpServers": {
"mcp-sticky":{
"command": "uvx",
"args": [
"--python=3.10",
"--from",
"git+https://github.com/nkapila6/mcp-meme-sticky",
"mcp-sticky"
]
}
}
}