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DimensionAlibaba Cloud DevOps MCP ServerEnables AI assistants to interact seamlessly with the Yunxiao platform for code, project, pipeline, package, and test management.MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS64 / 100 · C79 / 100 · B
Reliability10 / 2012 / 20
Security and permissions12 / 2018 / 20
Maintenance14 / 2016 / 20
Documentation15 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • Development teams using the Alibaba Cloud Yunxiao platform
  • Teams wanting to use AI to assist DevOps workflows
  • Teams needing automation and intelligent code management and pipeline operations
  • 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
  • Teams not using the Alibaba Cloud Yunxiao platform
  • Users needing direct integration with local Git or non-Yunxiao code repositories
  • Users with strict security and compliance requirements who do not want to expose code content to external AI services
  • 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
  • Requires a Yunxiao personal access token (YUNXIAO_ACCESS_TOKEN) with read and write permissions to all relevant APIs.
  • The token grants access to organization management, project collaboration, code management, pipeline management, artifact repository management, application delivery, and testing management.
  • 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
  • Token leakage could lead to organizational data security risks.
  • AI might accidentally perform destructive operations (e.g., deleting branches or files).
  • The tool calls Yunxiao APIs, which may incur costs or quota consumption.
  • 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, CursorClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools1000