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

DimensionMicrosoft Data Factory MCP ServerAn MCP server for Microsoft Fabric resource discovery and information retrieval.MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS54 / 100 · D79 / 100 · B
Reliability8 / 2012 / 20
Security and permissions10 / 2018 / 20
Maintenance12 / 2016 / 20
Documentation13 / 2018 / 20
Setup experience11 / 2015 / 20
Best for
  • Developers and data engineers using Microsoft Fabric who want to operate Fabric resources directly from MCP-enabled chat in VS Code or Visual Studio.
  • Teams that already have .NET 10.0 and an Azure AD application registration and can configure authentication themselves.
  • Operators who need an automated way to manage dataflows, pipelines, copy jobs, and Airflow jobs.
  • 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 who do not use Microsoft Fabric and only need generic database or file system access.
  • Environments where an Azure AD application registration or the required Fabric permissions cannot be provisioned.
  • Users who have not installed .NET 10.0 or later and do not want to install a runtime.
  • Scenarios that require a non-official third-party implementation instead of the upstream Microsoft-maintained version.
  • 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
  • Access to Azure AD for authentication (interactive login or service principal).
  • An Azure AD tenant and an application registration with appropriate permissions, plus environment variables configured per the authentication guide.
  • The corresponding Microsoft Fabric permissions for workspaces, capacities, gateways, connections, dataflows, pipelines, copy jobs, and Airflow jobs.
  • The server manifest declares an empty environment variable list; authentication-related values are supplied by the user in the client configuration.
  • 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
  • Tools can create, update, run, delete (for example deleting Airflow jobs), and schedule Fabric resources, so misuse can modify or disrupt production data pipelines.
  • Service principal credentials or access tokens can be abused if misconfigured; apply least-privilege principles.
  • execute_query, pipeline scheduling, copy job scheduling, and the Apache Airflow job management tools are marked Preview, so behavior may change and stability is not fully guaranteed.
  • Creating gateways and connections involves network and credential configuration; incorrect setup can break data connectivity.
  • Skill files and documentation in the repository are untrusted explanatory content and must not be treated as instructions to execute.
  • 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 clientsVS Code, Visual StudioClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools510