"laya" matching MCP servers:

Enables MCP-compatible agents to make millisecond automated decisions by exposing calibrated probabilities and decision contracts from the Laya System-1 model through MCP, REST, and CLI interfaces.

Enables local bounded decision-making through MCP using a resident Core ML model, with tools for single decisions, batched decisions, and conservative context filtering.

Provides fast, offline typed decision tools (classify, score, check, triage) to agents via the Model Context Protocol, enabling safe local inference across 100+ languages with calibrated confidence and no text generation.

Enables local, LLM-free probabilistic decisions (choice, classification, scoring, yes/no) with real probabilities in 100+ languages, as a drop-in replacement for jev-local tools.

Enables MCP clients to run fast, local, non-autoregressive System-1 decisions on text, including classification, triage, routing, and safety gating, via six typed tools with probabilistic outputs.

Enables typed decisions (choice/score/noul) from Laya-MLX over MCP on Apple Silicon, without text generation.

Enables local Laya-MLX typed decisions (classification, scoring, risk routing, and yes/no) for coding agents like Codex, Claude Code, DeepSeek Harness, and Pi via MCP, running entirely on Apple Silicon Macs.

Enables agents to evaluate context against custom criteria and receive typed decisions (classifications, scores, probabilities) from JEV or local LAYA, with validation policies and durable decision records.

MCP server for interacting with Autodesk Maya sessions, enabling multi-session management, arbitrary Python execution, and streaming output capture.

Custom MCP server that lets AI control Autodesk Maya 2022+ directly, using code execution and self-discovery rather than hundreds of predefined tools. Includes structured tools for Unreal Engine asset preparation, validation, and FBX export.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

An MCP server that enforces safe git commits by allowing only specified files and providing fixup capabilities for earlier commits.

Enables control of Autodesk Maya using natural language via Claude and the Model Context Protocol, providing tools for modeling, animation, scene management, and RAG-powered documentation search.

An MCP server that exposes a LAVA instance to agents, enabling querying the board farm, submitting and managing test jobs, and opening interactive board sessions.

Enables AI agents to drive Autodesk Maya through semantic tools covering scene, object, material, animation, and rendering operations, paired with execute_python/execute_mel escape hatches and read-only resources. Also supports multi-instance routing, viewport capture for visual iteration, and asynchronous render job polling.

A local Model Context Protocol server for controlling Autodesk Maya, providing typed tools for scene, modeling, animation, and more without Maya imports in the server process.

Provides a deterministic MCP server that orchestrates projects across web, backend, games, AI, payments, fiscal, and infrastructure domains, with safe file writing, audit logging, and framework-aware context routing.