mcp-server-microsoft-paint vs memory
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-microsoft-paint by ghuntley | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 20 | ★ 85,748 |
| 30d uses | — | — |
| Score | 40 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsMediaProductivity | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Rust | TypeScript |
| Last commit | 1 mo ago | this month |
mcp-server-microsoft-paint · Summary
An MCP server for controlling Microsoft Paint with drawing, shape tools, and window management via JSON-RPC.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
mcp-server-microsoft-paint · Use cases
- Automate simple graphics creation in Paint through AI assistants
- Integrate Paint functionality into larger automation workflows
- Create custom drawing tools that interface with Paint programmatically
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-server-microsoft-paint · Install
Installation
- Clone the repository:
git clone https://github.com/ghuntley/mcp-server-microsoft-paint
cd mcp-server-microsoft-paint- Build the server:
cargo build --release- Run the server:
cargo run --releaseClaude Desktop Configuration
Add to your Claude Desktop config.json:
"mcpServers": {
"paint": {
"command": "path/to/cargo",
"args": ["run", "--release", "--", "mcp-server-microsoft-paint"],
"env": {}
}
}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"]
}
}
}