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Compare MCP servers

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

DimensionAmazon ECS MCP ServerAWS's official server for managing and troubleshooting Amazon ECS container deploymentsCompartmentEncrypted, fully offline long-term memory for AI agents
FMRS70 / 100 · B75 / 100 · B
Reliability12 / 2012 / 20
Security and permissions15 / 2016 / 20
Maintenance16 / 2014 / 20
Documentation15 / 2018 / 20
Setup experience12 / 2015 / 20
Best for
  • Developers and operators who want AI assistance across the whole AWS containerization deployment flow
  • Scenarios that need to quickly root-cause an ECS deployment issue
  • Individuals or teams who prioritise privacy and offline operation and do not want data leaving the machine
  • Users who share memory across multiple MCP clients such as Claude Code, Claude Desktop, Hermes Agent, OpenClaw, Cursor, Codex and Gemini CLI
  • Scenarios that need encrypted storage, a hash-chained audit log and verifiable vault migration
  • Users who want low-latency recall, a bundled embedding model and no extra LLM calls inside the memory layer
Not for
  • Teams without an AWS account or not using ECS
  • Teams highly cautious about automated production deployments that don't want an AI directly creating cloud resources (keep ALLOW_WRITE=false for read-only troubleshooting)
  • Users who need cloud multi-device sync or a hosted team memory service; moving between machines means locking the vault and copying the file
  • Users who expect the server itself to run an LLM that extracts facts and decides what to remember; Compartment explicitly keeps no LLM inside and leaves that to the host model
  • Users who cannot keep a passphrase safe or who need a recovery path if it is lost, since Compartment never generates a password, seed or recovery phrase
  • Deployments that require network transports such as SSE or streamable-http; this server is stdio only and opens no ports
Required permissions
  • Requires valid AWS credentials (an AWS CLI profile); actual scope depends on what that IAM identity is granted
  • With ALLOW_WRITE=true it can create/modify/delete ECS services, ECR repos, and other cloud resources; ALLOW_SENSITIVE_DATA gates access to logs and other sensitive data
  • Read and write the vault file under the user's home directory, by default ~/.compartment/memory.vault, and its sibling settings file
  • Access the session directory holding the unlock credential (configurable with COMPARTMENT_SESSION_DIR), which also carries the shared embedding process's Unix socket
  • Optionally use the macOS keychain (compartment unlock --keychain is an explicit opt-in, and it survives reboots)
  • Write or merge an mcpServers entry into each MCP client's own configuration file, taking a byte-exact backup first
  • Install a PostToolUse hook for Claude Code that captures memory files the agent writes
  • Serve a read-only dashboard on 127.0.0.1 behind a one-time random URL token
Risks and side effects
  • With write access enabled, the assistant's actions can directly incur cloud costs or accidentally delete production resources — test in a non-production account or with an approval workflow first
  • delete_app removes all resources created by an Express Mode deployment and is irreversible — confirm the target application carefully
  • A leaked passphrase means the encrypted content can be decrypted; Compartment generates no recovery phrase and cannot recover a lost passphrase
  • Enabling the memory_unlock tool places the passphrase in the model's context, which is why it is off by default
  • If a 2FA keyfile is lost, for example a USB stick, the vault cannot be opened even with the passphrase
  • `export --plaintext` writes the vault as unencrypted JSONL, so that file must be handled carefully
  • Memory content can come from untrusted sources; recall wraps memories with a notice that they are stored data and content can be marked quarantined, but the host agent must still treat memory as data to limit prompt-injection risk
  • The capture hook and client integration write into the user's own settings files, although the implementation backs up and merges rather than replacing
Supported clientsClaude Desktop, Claude Code, VS Code, Cursor, Windsurf, Kiro, ClineClaude Desktop, Claude Code, Hermes Agent, OpenClaw, Cursor, VS Code, Codex, Gemini CLI, Cline, Roo Code, Zed, OpenCode, LM Studio, AnythingLLM, BoltAI, Goose, Kiro
Tools714