io.github.imran-siddique/agentos
Quality Score
81
/100
Build and manage policy-compliant AI agents with safety enforcement and compliance checking
§01 Install
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"agentos": {
"command": "npx",
"args": [
"-y",
"agentos-mcp-server"
],
"env": {
"AGENTOS_POLICY_MODE": "<agentos_policy_mode>",
"AGENTOS_LOG_LEVEL": "<agentos_log_level>"
}
}
}
}Cursor (.cursor/mcp.json)
{
"mcpServers": {
"agentos": {
"command": "npx",
"args": [
"-y",
"agentos-mcp-server"
],
"env": {
"AGENTOS_POLICY_MODE": "<agentos_policy_mode>",
"AGENTOS_LOG_LEVEL": "<agentos_log_level>"
}
}
}
}Cline (cline_mcp_settings.json)
npx -y agentos-mcp-server§02 Environment variables
AGENTOS_POLICY_MODEPolicy enforcement mode: strict (block all violations) or permissive (warn only)
AGENTOS_LOG_LEVELLog level: debug, info, warn, or error
§03 MCP Quality Score · methodology
freshness
21
completeness
10
installability
25
documentation
15
stability
10
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