Octave-MCP

Install

pip install octave-mcp

Claude Code (~/.claude.json) or Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "octave": {
      "command": "octave-mcp-server"
    }
  }
}

HTTP:

octave-mcp-server --transport http --port 8080

Quick example: what changes

Ask an LLM to summarise a project status and you get prose:

The auth migration has been running for three sprints and keeps hitting
the same problems. There's a security audit in six weeks — the auditors
specifically flagged session management as a priority area. We've burned
through 60% of the quarterly budget on this migration alone.

Ask another LLM to restate that in English and it will paraphrase — silently dropping facts, merging details, escalating "priority area" to "vulnerability." That's not a bug in the LLM. It's what prose invites: retelling.

OCTAVE structures the same information as labelled fields:

migration::auth_service[3_sprints∧SISYPHEAN_FAILURES]
CHRONOS::audit_6wk
  ARTEMIS::session_mgmt_targeted
DEMETER::"60%_quarterly_burned[this_migration_alone]"

Pass that to any LLM — even one that has never seen OCTAVE — and it translates each field separately. ARTEMIS (monitoring/targeting domain) reconstructs as "specifically targeted," not "vulnerability." CHRONOS (time pressure) stays distinct from DEMETER (budget). Facts don't merge because the structure tells the agent "these are labelled data points," not "this is a narrative to retell."

The mythology terms (SISYPHEAN, ARTEMIS, CHRONOS, DEMETER) work like semantic zip files — compressed meaning that's already in the model weights. No training needed. Why that works.

If an LLM writes it slightly wrong (extra spaces, ASCII -> instead of →), the normaliser autocorrects and gives you a receipt:

normalization: '->' → '→' at line 3

Same input, same output, every time. That's what deterministic means.