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

DimensionMCP Server for WinDbg Crash AnalysisDrive WinDbg with natural language for Windows crash dump analysisMartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS67 / 100 · C79 / 100 · B
Reliability11 / 2012 / 20
Security and permissions12 / 2018 / 20
Maintenance13 / 2016 / 20
Documentation17 / 2018 / 20
Setup experience14 / 2015 / 20
Best for
  • Developers and support engineers doing Windows crash dump and driver/kernel triage
  • Users of MCP clients (Claude Code, GitHub Copilot, Claude Desktop, Cursor, Windsurf, Cline) who want natural-language control of WinDbg
  • Teams that need to manage and automate multiple cdb/kd sessions (dumps, remote, kernel) in parallel
  • Environments that must filter sensitive data before debugging output leaves the machine
  • 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
  • Non-Windows platforms: dump analysis needs cdb.exe and kernel debugging needs kd.exe
  • Users expecting an automatic fix: it runs real debugger commands and lets the model reason about output
  • Users without organizational permission to use AI tools in a managed enterprise environment
  • Users who have not installed the debugging tools (cdb.exe / kd.exe)
  • 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
  • Execute local processes on the Windows host (cdb.exe / kd.exe and the Python package)
  • Read local dump files (.dmp/.mdmp/.hdmp) and target directories
  • Open TCP, named-pipe, or COM connections for user-mode remote debugging
  • Open KDNET, named-pipe, or serial connections for kernel debugging (waits for and breaks into the target machine)
  • Optional: filter tool arguments and output via --filter-script; configure a custom CDB_PATH and symbol path via _NT_SYMBOL_PATH
  • 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
  • Closing a kernel session resumes the target machine, which may affect it if it is processing critical state
  • Attaching to live (remote or kernel) sessions interrupts the target and may affect production or shared environments
  • Without --filter-script, sensitive data in dumps may leave the machine as part of tool output
  • Using MCP and AI tools in enterprise environments may be restricted by organizational policy; confirm permissions first
  • The default symbol path uses the Microsoft symbol server, so debugging may access external networks
  • 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 Code, VS Code, Claude Desktop, Cursor, Windsurf, ClineClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools100