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DimensionCLIO SpackStructured Spack discovery and installation tools for scientific agentsMartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS50 / 100 · D79 / 100 · B
Reliability10 / 2012 / 20
Security and permissions10 / 2018 / 20
Maintenance10 / 2016 / 20
Documentation10 / 2018 / 20
Setup experience10 / 2015 / 20
Best for
  • AI agents requiring package discovery and installation in Spack-managed HPC environments.
  • Scientific computing workflows wanting structured interaction with Spack to reduce parsing errors.
  • Engineering teams scaling AI coding agents while controlling spend
  • Platform teams that need auditable, rollback-aware agent execution records
  • Organizations using multiple agents (Claude, Codex, Gemini) under one governed flow
Not for
  • Package management outside of Spack environments (e.g., pip, conda).
  • Generic scenarios needing arbitrary command execution or custom Spack commands.
  • Developers who just want a simple code-completion helper without run governance
  • Teams unwilling to accept local JSONL run records with HMAC signing
  • Environments without a supported adapter (Claude/Codex/Gemini CLIs, direct provider, or verifier-only)
Required permissions
  • Executes Spack commands (spack find, spack locate, spack install) to manage packages.
  • Reads Spack installation information to determine installed packages and versions.
  • Read/write access to the configured repo root (writable scope restrictable via --allow-path/--deny-path)
  • Ability to invoke the chosen agent CLI (Claude/Codex/Gemini, etc.) and its underlying model account
  • Local disk writes for run records, receipts, and share outputs (share/run-receipt., etc.)
  • Execution of user-configured verifier commands (e.g. npm test)
Risks and side effects
  • Installing new packages may alter system state with potential impacts.
  • Concretization options (reuse/fresh) may affect dependency resolution and installation time.
  • Server provides structured output, but actual installations happen in the underlying system; ensure Spack environment is correctly configured.
  • Verifier commands are executed; poorly chosen verifier commands carry security risk despite preflight policy checks
  • Cost and token figures may be estimates (labeled with provenance) and should not be treated as settled accounting
  • Receipt integrity must be verified before use as trustworthy evidence; missing rollback evidence is flagged as EVIDENCE_BOUNDARY
  • Policy defaults come from martin.config.yaml and can be overridden by CLI flags; misconfiguration can loosen safety boundaries
Supported clientsClaude Desktop, Claude Code, Cursor, VS CodeClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools30