"Autodesk Maya" matching MCP servers:

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.

Enables Claude and other MCP clients to control Autodesk Maya 2024 through 244 typed tools, including modeling, rigging, previs, FX, Arnold rendering, asset libraries, AI 3D generation, and a real-time change stream for Unreal.

Lizard Eyes — a local vision MCP server backed by Qwen3-VL-4B, exposing a single vision.inspect tool for analyzing images via llama-server.

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

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

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 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.

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.

An AI hub for AEC that enables upload, conversion, viewing, analysis, and sharing of BIM models via 46 tools across 5 workers, integrating with Autodesk Platform Services.

Enables coding agents to make confident decisions using calibrated probabilistic tools for screening, verification, ranking, classification, and gating, fully self-hosted as an optional MCP server.

A remote MCP server that enables AI coding agents to search and retrieve context from imported AI chat history (ChatGPT, Claude, Codex, Claude Code) stored in Google Drive, with zero server-side storage and OAuth-based privacy.

Enables local, read-only Laya typed decisions for Codex, providing classification, scoring, truth-probability, batch decision, and token-budget planning tools on Apple Silicon.

Enables MCP-integrated prescription review with incomplete laboratory evidence, using deterministic rules and language-model guardrails to enforce approval authority boundaries.

Enables AI assistants to perform typed decisions (choice, score, noul) over text, emails, tickets, or JSON documents, with automatic language routing and source ranking across 100+ languages via a single forward pass.

Enables coding agents to call Laya's decision-model presets as tools for tasks like request classification, guard checks, content moderation, ticket triage, and custom evaluations.

Provides an MCP interface to the Laya decision model, enabling typed queries (yes/no, multiple choice, score) with preflight token-budget reporting, honest confidence calibration, and structured error handling.

Enables local MCP clients to answer questions about the current browser page by capturing DOM context, routing them to fast or deep OpenAI models via a local model router, and optionally filling forms and submitting answers.

Enables typed decisions (yes/no, choice, score) with transparent preflight checks, honest confidence reporting, and health monitoring.

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.