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Compare MCP servers

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

DimensionTwelve Data MCP ServerConnect AI assistants to Twelve Data financial market dataCompartmentEncrypted, fully offline long-term memory for AI agents
FMRS52 / 100 · D75 / 100 · B
Reliability8 / 2012 / 20
Security and permissions13 / 2016 / 20
Maintenance7 / 2014 / 20
Documentation11 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • Individuals or teams with a Twelve Data account who want market data inside their AI assistant
  • Users who want a no-install setup via the hosted cloud connector
  • Developers who prefer to self-host with their own API key
  • 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 without a Twelve Data account who don't want to sign up or authorize access
  • Fully offline scenarios with no third-party data dependency
  • General tasks unrelated to financial market data
  • 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
  • Cloud option: browser-based OAuth login linking your account to the Twelve Data hosted service
  • Local option: reads TWELVE_DATA_API_KEY from a .env file and uses it to call the Twelve Data API
  • Makes outbound network requests to fetch market data (to mcp.twelvedata.com for the cloud option, or directly to the Twelve Data API locally)
  • 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 cloud server is hosted by Twelve Data, requiring account authorization to a third-party service
  • In local mode, the API key is stored in plaintext in the .env file and must be kept secure
  • Data access and rate limits are bound by your Twelve Data subscription plan
  • The repository does not specify an open-source license, leaving usage and redistribution terms unclear
  • 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, ChatGPTClaude Desktop, Claude Code, Hermes Agent, OpenClaw, Cursor, VS Code, Codex, Gemini CLI, Cline, Roo Code, Zed, OpenCode, LM Studio, AnythingLLM, BoltAI, Goose, Kiro
Tools014