claude mcp add andylbrummer-neural-mcp -- uvx scicomp-neural-mcp
{
"mcpServers": {
"andylbrummer-neural-mcp": {
"command": "uvx",
"args": ["scicomp-neural-mcp"]
}
}
}
{
"mcpServers": {
"andylbrummer-neural-mcp": {
"command": "uvx",
"args": ["scicomp-neural-mcp"]
}
}
}
{
"mcpServers": {
"andylbrummer-neural-mcp": {
"command": "uvx",
"args": ["scicomp-neural-mcp"]
}
}
}
About This MCP Server
The neural-mcp server is a GPU-accelerated tool that enables model context protocol functionality for neural network training, deep learning, and model experimentation, connecting to various development environments through standard input/output interfaces. Developers would use this server to accelerate and support their machine learning workflows, particularly when working with neural networks and deep learning models. It is available as a package named scicomp-neural-mcp and can be found in the math-mcp repository on GitHub.
GPU-accelerated MCP server for neural network training, deep learning, and model experimentation. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with developer tools capabilities via the stdio transport.
Package
scicomp-neural-mcp on pypi
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.
What tools does it provide?
The neural-mcp server extends your AI assistant with developer tools capabilities. Once installed, your AI can use its tools automatically.
