Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@codex-laya-mcp Run laya_decide on these options and give me scores and truth probabilities."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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: laya-mcp — on-device typed decisions in ~10ms
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
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