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DimensionMCP AnalyticsThe statistical analyst in your AI chat — bring data and a question, own a citable, re-runnable analysis.CompartmentEncrypted, fully offline long-term memory for AI agents
FMRS53 / 100 · D75 / 100 · B
Reliability8 / 2012 / 20
Security and permissions12 / 2016 / 20
Maintenance8 / 2014 / 20
Documentation12 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • Business analysts and data science enthusiasts seeking rigorous statistical analysis through an AI chat interface.
  • Teams needing citable, reproducible analyses with methodology descriptions for papers, presentations, or compliance.
  • Users who want to own their analysis modules and rerun them on fresh data without paying again.
  • Adopters of Claude Desktop, Cursor, Windsurf, or other MCP clients who want to analyze data directly in their workflow.
  • 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 needing a free or open-source solution (service is commercial, credit-based).
  • Users who just need simple SQL queries or file system operations (more specialized, free MCP servers exist).
  • Users requiring fully local processing to avoid cloud (data is sent to API for processing).
  • Users needing very large-scale data processing or non-statistical custom coding (platform focuses on statistical methods).
  • 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
  • Tools can read uploaded CSVs or pull data from connected sources (GA4, GSC).
  • Running analyses involves calling remote cloud APIs; network access required.
  • Auth via OAuth2 (Auth0) or API key.
  • Billing tool can affect credit usage within this API (not external payments).
  • May create or update remote connector data if supported.
  • 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
  • Data is processed in the cloud, so sensitive information could be exposed despite encryption and ephemeral processing.
  • Commercial service relies on credits; builds that fail are not billed, but continued use requires payment.
  • Non-official, third-party service may have rate limits or downtime.
  • Potential for errors in AI-generated analyses if used without scrutiny; platform claims verification, but users should review.
  • 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, Cursor, Windsurf, Claude CodeClaude Desktop, Claude Code, Hermes Agent, OpenClaw, Cursor, VS Code, Codex, Gemini CLI, Cline, Roo Code, Zed, OpenCode, LM Studio, AnythingLLM, BoltAI, Goose, Kiro
Tools1814