{"schema_version":1,"snapshot_id":"bfb936f5ceae4a7427f93961201723779c3021545a3c4222395e8678314c3e55","generated_at":"2026-10-17T21:51:24.907033+00:00","notice":"Potential GTM matches from directory metadata and model triage. Discovered does not mean vendor-verified or tested. Pending records remain under review; pricing and install details require primary sources.","canonical_url":"https://gtmmcps.com/discoveries/049baf923f52ad56b72d","record":{"id":"049baf923f52ad56b72d","name":"dockndevai/mcp-laya","aliases":["dockndevai/mcp-laya","io.github.dockndevai/mcp-laya"],"description":"- [dockndevai/mcp-laya](https://github.com/dockndevai/mcp-laya) [![dockndevai/mcp-laya MCP server](https://glama.ai/mcp/servers/dockndevai/mcp-laya/badges/score.svg)](https://glama.ai/mcp/servers/dockndevai/mcp-laya) 🐍 🏠 🍎 🪟 🐧 - Fast, local, non-autoregressive System-1 decision engine as MCP tools — typed decisions (classify / score / yes-no) over text, email, tickets or JSON in 100+ languages, with calibrated confidence and no text generation, so nothing to hallucinate. Offloads routing/triage/gating judgment calls from the main model; runs on-device, offline by default. `pipx install mcp-lay","repository_url":"https://github.com/dockndevai/mcp-laya","sources":[{"source_id":"official-registry","url":"https://registry.modelcontextprotocol.io/v0.1/servers","observed_at":"2026-10-17T19:47:47.767562+00:00"},{"source_id":"awesome-mcp-servers","url":"https://github.com/punkpeye/awesome-mcp-servers/blob/main/README.md","observed_at":"2026-10-17T21:50:55.917399+00:00"}],"relevance_signals":["email"],"classification":{"label":"pending","method":"not-yet-classified"},"catalog_ids":[],"verification_status":"discovered","vendor_ownership":"not-verified","execution_tested":false,"pricing_status":"not-verified","documentation_status":"not-verified"}}
