Ship production AI
directly inside ClaudeClaude Code

Install neo-mcp

Add NEO's MCP server to any environment with Python 3.11+.

Terminal
pip install neo-mcp

Create your Secret Key

Open your NEO dashboard, create a key, and copy it. Keys look like sk-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.

claude session

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: Claude Code alone $1.96 vs Claude Code + NEO $0.74 — 62% cheaper on the same task and same machine.

Cost per task

$1.96$0.74

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.

Read the setup guide