Omega Brain MCP

Omega Brain provides task-scoped memory retrieval, explicit claim evaluation and local audit records for MCP clients.

The standalone 2.3 release replaces unsafe argument steering and uncalibrated approval scores with advisory alignment. SSWP can enforce Brain's operator-policy receipts at its witness entry point. Retrieval uses indexed lexical candidates with stable features; it does not claim dense semantic recall.

Install with python -m pip install ., then run omega-brain-mcp or python omega_brain_mcp_standalone.py. Add that command to your MCP client's persistent user configuration. Data defaults to ~/.omega-brain; use absolute paths for a portable desktop setup.

Call omega_preload_context with task and task_id, then use the same ID on omega_rag_query and omega_ingest. omega_integrity_status, omega_brain_report and omega_ecosystem_status expose current health and historical verification limits. omega_write_handoff requires conversation_id equal to the task ID.

The supplied Python client performs the MCP initialization handshake, bounds requests, drains diagnostics and raises server errors. omega_call("omega_rag_query", query="deployment decision", task_id="example-task") performs a scoped lookup.

The companion Stenographer preserves conversations; SSWP runs software checks. Their shared state directory and task IDs must agree.

See current operating contract for migration, permissions, evidence semantics and recovery. Historical manuals and examples describe older contracts; this document and the current MCP schemas take precedence. Legacy network mode is outside the standalone deployment's tested guarantees.

Run python -m unittest discover -s tests -p "test_contracts.py" and python -m pytest tests/test_build_gates.py. The integration suite lives in integration-tests/ and uses OMEGA_SUITE_ROOT pointing to sibling omega-brain, omega-stenographer, sswp checkouts and a shared .venv.