TrainTools
Recommend paper-backed diagnostics for PyTorch and Hugging Face training problems.
MCP server · by AparajeetS
About
TrainTools is an MCP server published by AparajeetS. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-13.
What it asks for
- Runs on your machine
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
A one-click link opens the client, which asks you to confirm before it adds the server.
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a local MCP server: PyPI package
Built from what Official MCP Registry declares.
claude mcp add --transport stdio traintools -- uvx --with mcp traintools mcp
[mcp_servers.traintools]
command = "uvx"
args = ["--with", "mcp", "traintools", "mcp"]
{
"mcpServers": {
"traintools": {
"command": "uvx",
"args": [
"--with",
"mcp",
"traintools",
"mcp"
]
}
}
}
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 0.6.2 | Forks (GitHub): 0 Stars (GitHub): 0 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
neural-mcp io.github.andylbrummer/neural-mcp
GPU-accelerated MCP server for neural network training, deep learning, and model experimentation
-
forge-mcp-server io.github.RightNow-AI/forge-mcp-server
Turn PyTorch into fast CUDA/Triton kernels on real datacenter GPUs with up to 14x speedup.
-
Safety-first Kaggle MCP — confirm-gated destructive ops, submission budget, injection-fenced.
-
hugging-bay io.github.barneywohl/hugging-bay
Verified open AI artifact search, trust evidence, downloads, and agent workflows from Hugging Bay.
-
hardware-probe io.github.yamaru-eu/hardware-probe
Hardware probe for performance diagnostics, thermal monitoring, and LLM optimization.
-
model-card-lint-gpai io.github.jmshinhwa/model-card-lint-gpai
Lints a Hugging Face model card against the Hub metadata spec and the EU AI Act general-purpose AI d
-
Gold-first AI-agent traceback diagnosis, exact fixes, verification, and reusable prescriptions.
-
cotforce-mcp io.github.islobodan/cotforce-mcp
Give brains to your small models. MCP server enforcing step-by-step Chain-of-Thought.
-
neurarch-mcp io.github.neurarch-ai/neurarch-mcp
Reads a PyTorch .py, a Neurarch graph, or a HF repo; agents inspect, lint, verify and rank designs.
-
metrillm io.github.MetriLLM/metrillm
Benchmark local LLM models — speed, quality & hardware fitness verdict from any MCP client
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
Build, train, evaluate, and use open source AI models, datasets, and spaces.
-
vynn-mcp io.github.beee003/vynn-mcp
Self-improving AI workflows with backtesting, prompt optimization, and scheduling
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
Agent Trace Triage is a Claude Code plugin for developers building agentic AI systems (LangGraph, CrewAI, custom tool loops, MCP agents). When an agent run fails, stuck in a loop…
-
Claude Code plugin for rr reverse debugging via MCP. Automatically configures the karellen-rr-mcp MCP server and includes a crash detection hook that suggests rr when a command…
Has a listing on Claude Code: claude-plugins-official (5)
-
Build, train, evaluate, and use open source AI models, datasets, and spaces.
-
AMD's verified Agent Skills in one plugin: route image/audio through local AI on Ryzen AI, serve LLMs on AMD Instinct GPUs with vLLM, optimize inference throughput with Hyperloom…
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
Skills for designing and building MCP servers that work seamlessly with Claude. Guides you through deployment models (remote HTTP, MCPB, local), tool design patterns, auth, and…
Has a listing on Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
MCP server for terminal commands, file operations, and process management
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Available for US1 customers only. Analyze, investigate, and act on your Datadog telemetry directly from ChatGPT using natural language. Ask questions about your production…
-
Cloudflare platform plugin with curated skills for Workers, Wrangler, and Agents SDK plus the official Cloudflare API MCP server.
Has a listing on Community GitHub marketplaces (5)
-
Gold-first AI-agent traceback diagnosis, exact fixes, verification, and reusable prescriptions.
-
Finds what shipped after your coding agent's training, before it rebuilds it from scratch.
-
Tuning Engines - Governed AI Runtime
Govern model, agent, skill, and MCP workflows with policy, approvals, traces, and usage analytics.
-
Markdown memory for coding agents that audits itself: drift reports and session digests.
-
Automated AI research toolkit: hypothesis generation, experiments, and paper writing
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Complete toolkit for building Model Context Protocol (MCP) servers in TypeScript/Node.js using the official SDK. Includes instructions for best practices, a prompt for generating…
-
Phoenix AI observability skills for LLM application debugging, evaluation, and tracing. Includes CLI debugging tools, LLM evaluation workflows, and OpenInference tracing…
-
Complete toolkit for building Model Context Protocol (MCP) servers in Go using the official github.com/modelcontextprotocol/go-sdk. Includes instructions for best practices, a…
-
Complete toolkit for building Model Context Protocol (MCP) servers in Kotlin using the official io.modelcontextprotocol:kotlin-sdk library. Includes instructions for best…
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Navigate and interact with your C++ code using the Microsoft C++ Language Server.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Analyze MSVC build performance using vcperf.exe and ETL traces.
Has a listing on Cursor: cursor/plugins (5)
-
Let Grok Bot reach MCP servers on your private Tailscale network. Sign in to Tailscale to connect your tailnet; Grok Bot joins it as one tagged device and only reaches the hosts…
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
Has a listing on Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
testkube-mcp io.github.kubeshop/testkube-mcp
MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants
-
Dynatrace-mcp io.github.dynatrace-oss/Dynatrace-mcp
[DEPRECATED] Dynatrace MCP Server. Migrate to dynatrace-for-ai or Dynatrace Remote MCP Server.
-
MCP server for Polar Signals Cloud continuous profiling platform, enabling AI assistants to analyze CPU performance, memory usage, and identify optimization opportunities in…
-
MCP server providing Prometheus metrics access and PromQL query execution for AI assistants
Has a listing on Official MCP Registry (5)
-
neural-mcp io.github.andylbrummer/neural-mcp
GPU-accelerated MCP server for neural network training, deep learning, and model experimentation
-
forge-mcp-server io.github.RightNow-AI/forge-mcp-server
Turn PyTorch into fast CUDA/Triton kernels on real datacenter GPUs with up to 14x speedup.
-
Safety-first Kaggle MCP — confirm-gated destructive ops, submission budget, injection-fenced.
-
hugging-bay io.github.barneywohl/hugging-bay
Verified open AI artifact search, trust evidence, downloads, and agent workflows from Hugging Bay.
-
hardware-probe io.github.yamaru-eu/hardware-probe
Hardware probe for performance diagnostics, thermal monitoring, and LLM optimization.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Is this your plugin?
Add it to your projects and prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.