todo-mcp-server vs memory
Side-by-side comparison to help you pick between these two MCP servers.
todo-mcp-server by idsulik | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 7 | ★ 85,748 |
| 30d uses | — | — |
| Score | 32 | 77 |
| Official | — | ✓ |
| Categories | ProductivityDeveloper ToolsOther | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 13 mo ago | this month |
todo-mcp-server · Summary
A minimal Todo MCP server providing basic task management operations through Model Context Protocol.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
todo-mcp-server · Use cases
- Personal task management within AI assistants
- Demonstration of MCP server implementation patterns
- Integration with AI workflows for todo tracking
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
todo-mcp-server · Install
Installation
- Clone the repository:
git clone https://github.com/idsulik/todo-mcp-server.git
cd todo-mcp-server- Install dependencies using uv:
uv pip install -e .Adding to Claude Desktop
Add this to your Claude Desktop configuration file:
{
"mcpServers": {
"todo": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"/path/to/your/server.py"
]
}
}
}Using Docker
Alternatively, you can use Docker:
{
"mcpServers": {
"todo": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"idsulik/todo-mcp-server"
]
}
}
}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"]
}
}
}