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

DimensionLicinexus MCP ServerMCP server for Brazilian public procurement and CNPJ dataCompartmentEncrypted, fully offline long-term memory for AI agents
FMRS46 / 100 · D75 / 100 · B
Reliability6 / 2012 / 20
Security and permissions8 / 2016 / 20
Maintenance10 / 2014 / 20
Documentation12 / 2018 / 20
Setup experience10 / 2015 / 20
Best for
  • LLM users and analysts who need Brazilian public procurement open data
  • Developers using Claude Desktop, Cursor, Continue, Cline/Roo Code, or Zed
  • Govtech, compliance, supplier intelligence, and bidding researchers
  • Teams wanting keyless, signup-free access to PNCP and CNPJ public 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 needing Licinexus's proprietary matchmaking engine, supplier scoring, price aggregation, or AI-generated artifacts
  • Scenarios requiring an official SLA or paid support (this is a community project, best effort, no SLA)
  • Users expecting access to private databases or non-public data
  • ChatGPT web users, since the consumer web app does not support MCP stdio
  • 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
  • Network access to public HTTPS endpoints: PNCP and BrasilAPI (or MinhaReceita)
  • Local execution: downloads and runs the npm package @licinexusbr/mcp via npx, using the local npm cache (e.g. ~/.npm/_npx/)
  • Process communication: JSON-RPC over stdin/stdout with the MCP client
  • In-memory local cache: short-TTL LRU caching of heavy responses
  • Optional environment variables: CNPJ_PROVIDER (brasilapi default or minhareceita), LICINEXUS_LOG_LEVEL, LICINEXUS_LANG
  • No API keys or account credentials required
  • 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 comes from public government APIs; PNCP can take 15–30 seconds to respond, and broad queries may time out
  • Public data may be delayed, missing, or inconsistent, so LLM output needs human review and should not be the sole basis for legal or bidding decisions
  • npx downloads and executes a third-party npm package, so supply-chain risk depends on the trustworthiness of that package's publishing channel
  • npx caching may run an older version unless @latest is specified
  • Using an absolute npx path from which npx writes a local machine path into your config file
  • Debug logging may include query parameters, so avoid exposing sensitive context
  • 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, Continue, Cline, Roo Code, Zed, ChatGPTClaude Desktop, Claude Code, Hermes Agent, OpenClaw, Cursor, VS Code, Codex, Gemini CLI, Cline, Roo Code, Zed, OpenCode, LM Studio, AnythingLLM, BoltAI, Goose, Kiro
Tools1814