memory vs google_workspace_mcp
Side-by-side comparison to help you pick between these two MCP servers.
memory by modelcontextprotocol | google_workspace_mcp by taylorwilsdon | |
|---|---|---|
| Stars | ★ 85,748 | ★ 2,410 |
| 30d uses | — | — |
| Score | 77 | 58 |
| Official | ✓ | — |
| Categories | Knowledge GraphAI / LLM ToolsProductivity | ProductivityCommunicationDeveloper Tools |
| Language | TypeScript | Python |
| Last commit | this month | this month |
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
google_workspace_mcp · Summary
Comprehensive Google Workspace MCP server for Gmail, Calendar, Drive, Docs, Sheets, and more with OAuth 2.1 support.
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
google_workspace_mcp · Use cases
- Automate email and calendar management through AI assistants
- Manage Google Drive files and permissions programmatically
- Create and edit documents, spreadsheets, and presentations through natural language commands
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"]
}
}
}google_workspace_mcp · Install
Installation
- Install the package via pip:
pip install workspace-mcp- Set up OAuth credentials in Google Cloud Console
- Launch the server:
uvx workspace-mcp --tool-tier coreClaude Desktop Configuration
Add to your Claude Desktop config.json:
{
"mcpServers": {
"google-workspace": {
"command": "uvx",
"args": ["workspace-mcp", "--transport", "stdio"]
}
}
}