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adamdroberts
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neuralfn-mcp

Build, edit, and train NeuralFn graphs via MCP server tools.

2|Updated Mar 25, 2026
Search Tags:#mcp#training#graphs#datasets#model-building#neuralfn
One-click install
npx skills add https://github.com/adamdroberts/NeuralFn --skill neuralfn-mcp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: neuralfn-mcp
Source: https://github.com/adamdroberts/NeuralFn/tree/main/.cursor/skills/neuralfn-mcp
Command: npx skills add https://github.com/adamdroberts/NeuralFn --skill neuralfn-mcp

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about neuralfn-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build and train neural network graphs using MCP tools?▼

Build and train neural network graphs by automating node creation, dataset wiring, and execution with MCP server commands. This allows direct model prototyping and training monitoring without modifying source code.

Can I create GPT or Llama models without touching source code?▼

Create GPT, Llama, MoE, and NanoGPT models without touching source code by loading templates and wiring datasets through MCP server commands. The server manages graph execution and training automatically.

What do I need to run NeuralFn graph training through an MCP server?▼

Running NeuralFn graph training requires a running MCP server and a documented workflow in SKILL.md. You must also provide a clear name and description frontmatter plus an MCP tool reference in the body.

How do I manage datasets and wire neurons for model training via MCP?▼

Manage datasets and wire neurons for model training via MCP by executing server commands to connect data sources to graph nodes. This automates dataset integration and graph execution for local or hosted environments.

Does MCP tooling support monitoring training across local and hosted environments?▼

MCP tooling supports monitoring training across local and hosted environments by executing graph commands through the server. This enables experiment tracking and model inspection throughout the training lifecycle.

What are the limitations of using MCP server commands for neural network graph execution?▼

MCP server commands for neural network graph execution require a running server and a strictly documented SKILL.md workflow. Without proper frontmatter and an MCP tool reference, graph execution and training cannot proceed.

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