Developer · Local MCP server
Neural MCP
GPU-accelerated MCP server for neural network training, deep learning, and model experimentation.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
io.github.andylbrummer/neural-mcp- Version
- 0.1.6
- Status
- Active
- Category
- developer
- Transport
- stdio (local process)
- Package
- PyPI
- Published
- 2026-01-05
- Updated
- 2026-01-05
- Publisher
- andylbrummer (GitHub) · 4 servers with pages here
- Website
- andylbrummer.github.io/math-mcp/api/neural-mcp
- Repository
- github.com/andylbrummer/math-mcp (folder servers/neural-mcp)
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPIruntime: uvx | scicomp-neural-mcp | 0.1.6 | stdio |
How to connect Neural MCP
Neural MCP runs locally from a Python package published to PyPI: scicomp-neural-mcp version 0.1.6. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx scicomp-neural-mcp.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"neural-mcp": {
"command": "uvx",
"args": [
"scicomp-neural-mcp"
]
}
}
}Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect
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