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Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionHyperTool MCPGive your AI the best tools from all your MCPs 🎯MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS43 / 100 · D79 / 100 · B
Reliability6 / 2012 / 20
Security and permissions8 / 2018 / 20
Maintenance8 / 2016 / 20
Documentation11 / 2018 / 20
Setup experience10 / 2015 / 20
Best for
  • Developers using AI coding assistants with multiple MCP servers
  • Teams looking to improve AI tool selection accuracy
  • Users who want to organize toolsets to match their workflows
  • 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
  • Users with only one or two MCP servers and few tools
  • AI applications that don't require complex tool management
  • 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
  • Read and write local configuration (~/.toolprint/hypertool-mcp/) to store toolsets and preferences
  • Launch and manage child processes to proxy MCP servers
  • Communicate with MCP clients over stdio
  • 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
  • Proxied MCP servers may have permissions associated with their tools, such as filesystem access or remote API calls. Users should review the permissions granted to those servers.
  • Misconfiguration can lead to tools not being available. Ensure .mcp.hypertool.json is correctly formatted and contains valid server configurations.
  • Context measurement uses BPE-based approximations and is not exact token counts, so optimization decisions may not be precise.
  • 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, Cursor, Claude CodeClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools20