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Compare MCP servers

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

DimensionAppwrite MCP ServerOperate your Appwrite backend through your MCP client.MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS63 / 100 · C79 / 100 · B
Reliability8 / 2012 / 20
Security and permissions12 / 2018 / 20
Maintenance13 / 2016 / 20
Documentation16 / 2018 / 20
Setup experience14 / 2015 / 20
Best for
  • Developers already on Appwrite Cloud who want AI-assisted backend administration
  • Teams that prefer browser-authenticated OAuth scopes over managing API keys
  • Self-hosted Appwrite operators who can run a local stdio bridge with a project API key
  • 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 without an Appwrite project or account
  • Clients that lack remote MCP/OAuth support and cannot install Node.js for the mcp-remote bridge
  • Non-Appwrite backend workflows
  • 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
  • OAuth scopes approved during the browser consent flow (covering databases, users, functions, teams, storage, etc.)
  • For self-hosted use, an Appwrite project API key with permissions matching the operations invoked
  • 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
  • Broad backend access (databases, users, functions, storage) if overly broad OAuth scopes or an overly permissive API key are granted
  • Destructive operations (deleting data, modifying users/teams) are possible if the AI client is given write scopes
  • The hosted server is a third-party (Appwrite-operated) service brokering requests to your Appwrite project
  • 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, Claude Desktop, Cursor, VS Code, Codex, OpenCode, Windsurf, Gemini CLI, Antigravity, GitHub Copilot CLI, Zed, Warp, JetBrains AI Assistant / Junie, ClineClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
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