io.github.khalomsky/syke
Quality Score
82
/100
AI code impact analysis — dependency graphs, cascade detection, and build gates for AI agents
§01 Install
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"syke": {
"command": "npx",
"args": [
"-y",
"@syke1/mcp-server"
],
"env": {
"SYKE_LICENSE_KEY": "<your-syke_license_key>",
"GEMINI_KEY": "<your-gemini_key>"
}
}
}
}Cursor (.cursor/mcp.json)
{
"mcpServers": {
"syke": {
"command": "npx",
"args": [
"-y",
"@syke1/mcp-server"
],
"env": {
"SYKE_LICENSE_KEY": "<your-syke_license_key>",
"GEMINI_KEY": "<your-gemini_key>"
}
}
}
}Cline (cline_mcp_settings.json)
npx -y @syke1/mcp-server§02 Environment variables
SYKE_LICENSE_KEYsecret
SYKE Pro license key (optional — Free tier works without it)
GEMINI_KEYsecret
Google Gemini API key for AI semantic analysis (optional, Pro only)
§03 MCP Quality Score · methodology
freshness
22
completeness
10
installability
25
documentation
15
stability
10
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