"GNU" matching MCP servers:

MCP server wrapping the GNU Backgammon neural network evaluation engine. Provides 18 tools for position analysis, move evaluation, rollouts, and board conversion.

Enables MCP-compatible AI assistants to run Python code on Google Colab GPU/TPU runtimes, supporting accelerators like T4, A100, H100, with background execution and Google Drive integration.

Enables AI agents and their users to submit, route, and monitor training jobs across free-tier GPU clouds (Kaggle, Colab, Lightning, local MPS) through a local daemon that tracks quota, explains routing decisions, and gates long or secret-reading agent jobs behind human approval.

An MCP stdio server that lets an AI agent run ComfyUI or VoiceStudio batch jobs on a GPU shared with a local LLM server by unloading the LLM, launching the executor, running the jobs, and always reloading the LLM afterward. It exposes comfy_batch, voice_batch, and gate_status tools so a single blocking call handles the whole GPU hand-off safely even if the client disconnects.

Unified AI compute API gateway for agents. Access 30+ services and 95+ models across 8 backends (Groq, Together AI, DeepInfra, Fireworks, Replicate, RunPod) with native x402 USDC payments, Stripe, and crypto top-up.

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MCP server for AI-controlled GPU VRAM management in ComfyUI, allowing Claude to monitor and control GPU state, manage model offloading, and start/stop ComfyUI.

Enables AI agents to submit GPU job requests, select eligible workers, track execution, and retrieve results via MCP.

Badgr lets AI agents launch GPU workloads, deploy inference endpoints, run models and execute AI workflows through MCP. Route workloads to available compute, track execution and costs, and retrieve verified results without managing GPU infrastructure.

Enables approved submission, monitoring, and retrieval of Kaggle CPU/GPU jobs, including two-stage preparation-to-training workflows, experiment comparison, artifact/log access, and SMTP completion notices.

Enables AI agents to discover, reserve, and dispatch inference to GPU nodes via MCP tools, using signed handles for stateless reservation management.

Enables AI coding agents to run policy-constrained Python jobs on lab NVIDIA GPU hosts, including GPU inspection, device reservation, job launching and monitoring, and owner-scoped process stopping.

Enables MCP-aware agents to queue and run faster-whisper transcription jobs on a shared GPU, with tools to submit audio, poll job status, cancel jobs, and inspect queue status.

Enables Claude Code to run GNU Octave code for numerical computation, plotting, and deep learning inference via system calls.

Analyzes startup ideas against 6 sources (GitHub, HN, npm, PyPI, Google, Reddit) with LLM-powered intent parsing to assess competition, demand, and gaps.

AI-driven smart browser automation MCP server supporting multiple AI providers. Enables natural language element selection and self-healing for robust web automation.