@yoheinakajima: anybody i know using claude code to run lots of ML? @withneo just launched an AI/ML expert as an MCP server that can he…
Summary
NEO launches an AI/ML expert as an MCP server for Claude Code, enabling users to run machine learning tasks cheaper and faster directly from the terminal.
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Cached at: 06/17/26, 11:52 AM
anybody i know using claude code to run lots of ML?
@withneo just launched an AI/ML expert as an MCP server that can help run these cheaper and faster.
link: https://t.co/DjFqHMRv9f
ping @saurabhvij137 to learn more https://t.co/QbiwgIysqt
Claude Code + NEO: Ship production AI from your terminal
Source: https://heyneo.com/claude-code
Ship production AI directly inside
Claude Code
Install neo-mcp
Add NEO’s MCP server to any environment withPython 3.11+.
Terminal
pip install neo-mcp
Create your Secret Key
Open your NEO dashboard, create a key, and copy it. Keys look likesk-v1-….
Connect Claude Code
Register NEO with one command, then just ask in a new chat to ship work.
Command
claude mcp add --scope user neo \
-e NEO_SECRET_KEY=sk-v1-your-key \
-- python3 -m neo_mcp
Using Cursor, VS Code, or another MCP client?See the neo-mcp setup.
Just describe it. NEO ships it.
Independent benchmark
62% cheaper. Better answer.
The task: benchmark a speech-to-text model on a CPU-only Azure VM — 2 cores, 7.7 GB RAM, no GPU. Claude Code alone reached for the obvious HuggingFace + PyTorch path and iterated in real time. NEO spent two minutes researching first, then chose ONNX Runtime for its AVX2-optimized CPU kernels — same task, same machine.

Cost per task
1\.960.74
62% cheaper
Runtime (RTF)
0.5190.328
37% faster
Backend chosen
PyTorchONNX Runtime
CPU-optimized
Benchmark by Gaurav Vij ·Read the full writeup
Start shipping.
Install once, then delegate ML work to NEO from any Claude Code session.
Neo is a fully autonomous AI Engineer capable of building AI apps, agents, performing experiments, evals, optimizations across your AI products and ML models.
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