This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Local, read-only Laya typed decisions for Codex over Model Context Protocol.
This project is intentionally not a replacement model for Codex. It exposes bounded classification,
scoring, truth-probability, batch decision, and token-budget planning tools backed by laya-mlx on
Apple Silicon.
laya_plan: exact prompt-budget preflight without inference.
laya_decide: batched choice, score, and truth-probability decisions.
laya_classify, laya_score, and laya_check: focused convenience tools.
Every inference result includes the full distribution, uncertainty metrics, model metadata, and an advisory answer/review/abstain policy. Inputs that Laya would silently truncate are rejected.
Related MCP server: oh-my-laya
uv sync --extra dev
uv run ruff check .
uv run pytest
uv run codex-laya-mcp --helpThe first real model call downloads the configured checkpoint unless it is already in the Hugging Face cache. Unit and MCP contract tests use a deterministic fake engine and do not download weights.
See CODEX_MCP_PROJECT_DESIGN.md for the complete design and docs/OPERATIONS.md for installation, Codex connection, and rollback.
This server cannot be deployed
A paid remote MCP for OpenAI Codex context compressor, built to return verdicts, receipts, usage log
Deterministic decision layer for autonomous agents: reproducible PROCEED/REVIEW/SKIP verdicts.
Typed AI decisions for agents: classify, route, screen evidence, score and batch-label text.
Read-only, deterministic AI triage and readiness tools implementing Sophon's published rubrics.
