github
mindkeg-mcp
Enable AI coding agents to retain and access persistent memory of insights, decisions, and conventions across sessions for improved context and accuracy.
76fair
▣ Overview
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
100
25.0
Adoption
20%
3
0.6
Quality
10%
100
10.0
Trust
10%
50
5.0
Total
75.6
⚿ Capabilities & Risk Explainer
fs readfs writenetworkexecsecrets
◆ Risk level: high· 9 tools · auth: API key
fs read + fs write + network + exec + secrets active — can execute code, access credentials, and make external network calls.
| Tool name | Description | Destructive? |
|---|---|---|
| deprecate_learning | ✓ no | |
| delete_learning⚠ | ⚠ yes | |
| list_repositories | ✓ no | |
| list_workspaces | ✓ no | |
| search_learnings | ✓ no |
+4 more tools
| get_context | ✓ no | |
| flag_stale | ✓ no | |
| store_learning | ✓ no | |
| update_learning | ✓ no |
⚙ Install config
Claude Desktop · Cursor · Windsurf · VS Code (Copilot) · Claude Code
add to your MCP client config:
{
"mcpServers": {
"mindkeg": {
"command": "npx",
"args": [
"-y",
"mindkeg-mcp"
]
}
}
}📈 Score historylast 17 snapshots
5/25/20266/10/2026 · 17 snapshots
⚙ Maintenance health
maintenance data not yet available — check back later.
⛁ Raw data
weekly downloads0
github stars1
forks1
open issues0
license✓ present
readme length4906 chars
last publish0d ago
last commit0d ago
last updated5d ago
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