koursarosa-younanix-memory-mcp
mcpsmitheryYounanix Memory MCP gives autonomous AI agents access to real-world engineering memory from actual incidents (Slack threads + GitHub issues in Supabase, TRPC, Drizzle, Rails, Node.js etc). Natural language tool: query_lessons (search for problems, root causes, solutions). Structured output: {problem, root_cause, lesson_learned, confidence (80-100%), category, tags}. Free preview: 1 query/hour (degraded results). Full access: $0.10/query via x402/USDC micropayments (permissionless, no API keys needed). 1000+ lessons live, auto-growing from public repos. Connect once in Cursor/Claude Desktop/Windsurf → your agent auto-queries high-confidence fixes without hallucinations. Perfect for debugging, performance, security, reliability in real stacks. Site: https://www.younanix.com
By Smithery | 4 findings | Scanned 4/18/2026 | tooltrust-scanner/v0.3.8
Risk Summary
Needs ApprovalExcessive Permissions plus Missing Rate Limits raises enough risk that this tool should not be auto-trusted.
Potential impact: The agent may gain overly broad access to files, network, databases, or execution capabilities.
Recommended action: Keep this tool behind manual approval and avoid unattended runs until the risky capabilities are narrowed or removed.
Suggested policy: keep this tool behind manual approval, do not allow unattended runs, and re-scan after narrowing risky permissions.
Security Findings (4)
query_lessons:tool declares network permission
Fix: Tool requests broad permissions (exec/fs/network). Validate input parameters using Enums where possible, and restrict file system operations to explicit allowed directories.
query_lessons:tool declares db permission
Fix: Tool requests broad permissions (exec/fs/network). Validate input parameters using Enums where possible, and restrict file system operations to explicit allowed directories.
query_lessons:tool performs network or execution operations but declares no rate-limit, timeout, or retry configuration
Fix: Declare explicit rate-limit, timeout, and retry configuration for all network and execution tools. Implement exponential back-off and surface resource state to the calling agent.
query_lessons:Tool did not expose metadata.dependencies or repo_url, so supply-chain coverage is limited.
Fix: Review and remediate the identified issue.
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$ curl -sfL https://raw.githubusercontent.com/AgentSafe-AI/tooltrust-scanner/main/install.sh | bash$ tooltrust-scanner scan --server "npx -y koursarosa-younanix-memory-mcp"Adjust the package name if your npm registry name differs from the tool ID. View source
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