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Compare MCP servers

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

DimensionKubesharkKubernetes network observability for SREs and AI agentsCompartmentEncrypted, fully offline long-term memory for AI agents
FMRS52 / 100 · D75 / 100 · B
Reliability9 / 2012 / 20
Security and permissions8 / 2016 / 20
Maintenance11 / 2014 / 20
Documentation12 / 2018 / 20
Setup experience12 / 2015 / 20
Best for
  • SRE, DevOps, and network engineering teams using Kubernetes.
  • Incident response and root-cause analysis requiring cluster-wide network, API, and Kubernetes context.
  • Teams that want MCP-compatible AI agents to query live or retained network data.
  • 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
  • Users who do not run Kubernetes or do not need network traffic observability.
  • Client scenarios requiring only generic file, database, or collaboration features.
  • Environments where handling sensitive traffic or decrypting TLS/mTLS is unacceptable.
  • 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
  • Proxy mode requires a kubeconfig with access to the Kubernetes cluster.
  • Direct URL mode requires access to an existing Kubeshark Hub URL.
  • Start and stop operations require explicitly enabling --allow-destructive.
  • The source does not specify exact Kubernetes RBAC permissions or authentication mechanisms.
  • 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
  • The server can deploy or remove Kubeshark; start_kubeshark and stop_kubeshark are marked destructive.
  • Observed data may include complete API requests, headers, bodies, and PCAPs.
  • TLS/mTLS traffic can be decrypted into plaintext, potentially exposing sensitive information.
  • The source does not specify access-control, authentication, or data-retention policies.
  • 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 Code, CursorClaude Desktop, Claude Code, Hermes Agent, OpenClaw, Cursor, VS Code, Codex, Gemini CLI, Cline, Roo Code, Zed, OpenCode, LM Studio, AnythingLLM, BoltAI, Goose, Kiro
Tools1414