xxx91n
Xxx91n is an individual GitHub developer account and independent project publisher, not an identified incorporated company. The account publishes open-source developer tools and applications, including software for AI-assisted Autodesk Maya workflows, browser bookmark organization, Windows environment management, and agent verification.
At a Glance
- LLM and coding-agent users
- Autodesk Maya artists, technical artists, and 3D developers
- Developers and CI operators on Windows
- Users needing structured browser bookmark management
- +1 more
AI Tools by xxx91n
(1)
mcp-for-maya
MCP Server for Autodesk Maya
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Latest News
mcp-for-maya v0.6.0 released with strict policy mode, generated discovery/error-code documentation, session-lifecycle documentation, and tool-description quality improvements.
mcp-for-maya v0.5.0 released as a verification milestone with real-Maya results, WSL verification, MCP Registry listing, and v1.0 gate disposition.
mcp-for-maya v0.4.0 released as the beta/feature-complete milestone with expanded CI, governance, and release-quality controls.
mcp-for-maya v0.3.0 released with FBX/OBJ/USD scene export and scene-graph introspection.
Products & Services
MIT-licensed Model Context Protocol server that lets LLM agents such as Codex and Claude drive Autodesk Maya for 3D modeling, scene planning, and engineering-grade delivery.
Chrome and Firefox new-tab/bookmark organizer using a hierarchical infinite canvas, labeled boxes, spatial connections, per-tab memory, WebDAV sync, and 14 locales.
Windows environment-variable manager with a C# CLI and native Tauri 2/Svelte GUI, profiles, protected variables, secret providers, PATH health checks, and an audit ledger.
Claude Code agent plugin for macro and micro engineering-content audits of git-healthy repositories, with a hub of facts, federated adjudication, evidence gates, and verifiable receipts.
Market Position
mcp-for-maya positions itself as a scene-intelligence and verification-focused alternative to general Maya MCP servers and to blender-mcp. Its stated differentiators versus blender-mcp are spatial awareness, ICEV inspect-compute-execute-verify workflow, checkpoint/rollback safety, holistic scene planning, deterministic audits, multi-session management, and visual-loop tooling; blender-mcp is described as stronger in asset ecosystem breadth, first-class object CRUD, AI-generated-model integrations, and community scale.
Founding Story
The clearest documented origin story is mcp-for-maya: it was forked from chadrik/maya-mcp-server and extended with a scene-intelligence layer intended to prevent LLM agents from working blindly in Autodesk Maya. The extension focuses on spatial awareness, deterministic auditing, transactional safety, and visual verification.
Business Model
Revenue Model
The identified projects are open-source software distributed through public GitHub repositories; mcp-for-maya is MIT-licensed and installable from PyPI.
Target Markets
- LLM and coding-agent users
- Autodesk Maya artists, technical artists, and 3D developers
- Developers and CI operators on Windows
- Users needing structured browser bookmark management
- Software teams seeking repository audit and evidence workflows
- AI-assisted 3D modeling and scene construction in Autodesk Maya
- Scene planning, spatial reasoning, camera setup, asset import, and engineering-grade scene auditing
- Visual verification and recovery of AI-driven Maya edits
- Organizing browser bookmarks on an infinite spatial canvas
- Safe Windows environment-variable management for developers, CI, and AI agents
- Repository engineering-content auditing and evidence verification for coding agents