memory vs lightdash-mcp-server
Side-by-side comparison to help you pick between these two MCP servers.
memory by modelcontextprotocol | lightdash-mcp-server by syucream | |
|---|---|---|
| Stars | ★ 85,748 | ★ 25 |
| 30d uses | — | — |
| Score | 77 | 41 |
| Official | ✓ | — |
| Categories | Knowledge GraphAI / LLM ToolsProductivity | DatabaseDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | 11 mo ago |
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
lightdash-mcp-server · Summary
MCP server providing AI assistants with standardized access to Lightdash's analytics platform through API tools.
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
lightdash-mcp-server · Use cases
- AI assistants can explore Lightdash projects and retrieve specific data visualizations based on user queries
- Automated documentation generation for business metrics and dashboards by extracting chart configurations
- Integration with AI systems to create natural language interfaces for business data exploration
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"]
}
}
}lightdash-mcp-server · Install
Installation
Via Smithery (Recommended)
npx -y @smithery/cli install lightdash-mcp-server --client claudeManual Installation
npm install lightdash-mcp-serverConfiguration
Set these environment variables:
LIGHTDASH_API_KEY: Your Lightdash Personal Access TokenLIGHTDASH_API_URL: The API base URL
Claude Desktop Configuration
{
"lightdash": {
"command": "npx",
"args": [
"-y",
"lightdash-mcp-server"
],
"env": {
"LIGHTDASH_API_KEY": "<your PAT>",
"LIGHTDASH_API_URL": "https://<your base url>"
}
}
}