io.github.ldclabs/KIP
Quality Score
79
/100
Knowledge Graphs to enable memory persistence, knowledge evolution, explainable interaction.
§01 Install
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"KIP": {
"command": "npx",
"args": [
"-y",
"@ldclabs/kip-mcp-server"
],
"env": {
"KIP_BACKEND_URL": "<kip_backend_url>",
"KIP_API_KEY": "<your-kip_api_key>"
}
}
}
}Cursor (.cursor/mcp.json)
{
"mcpServers": {
"KIP": {
"command": "npx",
"args": [
"-y",
"@ldclabs/kip-mcp-server"
],
"env": {
"KIP_BACKEND_URL": "<kip_backend_url>",
"KIP_API_KEY": "<your-kip_api_key>"
}
}
}
}Cline (cline_mcp_settings.json)
npx -y @ldclabs/kip-mcp-server§02 Environment variables
KIP_BACKEND_URLrequired
HTTP URL for the KIP backend endpoint
KIP_API_KEYsecret
Your API key for the service
§03 MCP Quality Score · methodology
freshness
19
completeness
10
installability
25
documentation
15
stability
10
§04 Alternatives in Memory & RAG
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Fodda Knowledge Graphs
ai.fodda/mcp-server
Expert-curated knowledge graphs for AI agents — PSFK Retail, Beauty, Sports and more.
ai.meminal/meminal
ai.meminal/meminal
Memory for deep conversational context across any platform