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neuralfn-mcp

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MCP tools for NeuralFn graphs and training.

Software Engineering#mcp#training#graphs#datasets#model-building#neuralfn
Authoradamdroberts
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Build, edit, train, and inspect NeuralFn neural-network graphs using the neuralfn MCP server tools. Use whenever the user asks to create a neural network, build a model (GPT, MoE, Llama, NanoGPT, etc.), train on a dataset, add or wire neurons, execute a graph, manage datasets, or do anything with NeuralFn. The MCP server name is "neuralfn".

Core Features & Use Cases

  • Build, edit, train, and inspect graphs via MCP commands without touching source code.
  • Wire neurons, execute graphs, and manage datasets to prototype and deploy models.
  • Use cases include GPT/LLM training, graph execution, and experiment tracking with MCP tooling.

Quick Start

Load a GPT template, wire a dataset, and start training a model using the MCP tools.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: neuralfn-mcp
Download link: https://github.com/adamdroberts/NeuralFn/archive/main.zip#neuralfn-mcp

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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