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

DimensionStackQL MCP ServerQuery and provision cloud infrastructure with SQL.NAS-Server-1Started NAS server instanceFilesystem MCP ServerSecure local file read/write access
FMRS55 / 100 · C27 / 100 · D84 / 100 · B
Reliability9 / 203 / 2017 / 20
Security and permissions8 / 208 / 2016 / 20
Maintenance13 / 2013 / 2016 / 20
Documentation12 / 202 / 2017 / 20
Setup experience13 / 201 / 2018 / 20
Best for
  • Teams needing a unified SQL interface across cloud and SaaS providers
  • Users who want AI agents to access cloud resources in a structured way
  • Cloud operations, security, FinOps, and infrastructure-as-code workflows
  • Users who need to verify this server instance's manifest state
  • Local assistants that need to work inside explicitly approved directories
  • Individuals and development teams that want path-based data boundaries
Not for
  • Users who only need local file or browser automation
  • Environments that cannot grant cloud or SaaS API access
  • Users expecting a tool inventory with individually named MCP tools, which the source does not provide
  • Users who need confirmed MCP tool capabilities
  • Users who need installation, authentication, or transport instructions
  • Highly sensitive environments that cannot allow model access to local file contents
  • Shared remote file-service use cases
Required permissions
  • Provider authentication must be supplied through --auth or the client configuration
  • Effective permissions depend on the provider credentials and requested operations; the server supports querying and provisioning
  • GitHub Actions defaults to read_only mode, which is intended as the safe CI default
  • The source material does not specify required permissions.
  • Read access to every local directory listed in the configuration
  • Filesystem write access when write or move tools are enabled
Risks and side effects
  • Provisioning or modifying resources can cause real infrastructure changes
  • Overprivileged credentials can broaden the impact across cloud or SaaS resources
  • AI-generated SQL or API operations should be reviewed before execution
  • Cross-cloud operations may create cost, compliance, and security consequences
  • Because no tools or operation permissions are documented, data-access, write, and execution risks cannot be assessed.
  • Repository-wide Netdata capabilities must not be attributed to this specific server.
  • Sensitive files inside an allowed directory may enter model context
  • Write and move tools change real files; keep scopes narrow and maintain backups
Supported clientsClaude, VS Code, CursorClaude Desktop, Cursor, Cline, Windsurf
Tools006