DevGuard-MCP
Related Servers
Alternatives to DevGuard-MCP
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceEnables AI coding agents to audit and sweep away transient scratch directories, bloated test caches, and forgotten probe scripts in a workspace, with dry-run previews to guarantee nothing tracked or production-related is touched. It also detects zombie background dev servers still holding common ports like 3000, 5173, and 8000.31MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to scan a developer machine for disk space hogs, audit git worktrees for stale or orphaned ones, re-check individual findings, and run allowlisted cleanup actions as dry runs unless explicitly confirmed. Risky items are reported with warnings and refused by default.1MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to scan source code for secrets like API keys and passwords locally without network requests.2Apache 2.0
- AlicenseNot gradedqualityDmaintenanceLocal-first security check for AI coding agents — finds hardcoded secrets, exposed .env files, git-history leaks and vulnerable dependencies (OSV), entirely on your machine. Ask your agent "is this safe to ship?" and get a Launch Readiness score with a fix for every finding.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to autonomously scan repositories and staged changes for leaked secrets, move exposed credentials into environment files, purge secrets from Git history, and verify remediation through deterministic tools.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to scan and audit environment files for leaked secrets, sanitize them, encrypt/decrypt vaults, and run processes with zero-disk secret injection.MIT
TDQS
Scored across 6 tools
Most tools have clearly distinct purposes: audit focuses on security risks, scan on reclaimable artifacts, preview/clean are paired, history and health are distinct. The only potential overlap is between audit_workspace_secrets and scan_workspace, as both may detect secrets, but their descriptions emphasize different objectives (security audit vs artifact discovery).
All tool names follow a consistent verb_noun pattern in snake_case (audit, preview, get, clean, scan), with only minor variation like audit_workspace_secrets adding an extra noun. The style is uniform and predictable, making it easy to infer behavior from names.
Six tools is well-scoped for a workspace hygiene server, covering scanning, auditing, previewing, cleaning, health metrics, and history. Each tool serves a distinct function without redundancy, and the count feels neither sparse nor bloated.
The surface covers the core lifecycle: scan (discover), audit (security), preview (simulate), clean (execute), plus health and history. Minor gaps exist such as no explicit tool for managing exclusion lists or restoring from recycle bin, but these are not critical for the primary workflow.