Neo — AI/ML Engineering MCP server
io.github.NeoAIResearch/neo-mcp·v0.5.5·2 starsAI/ML engineering MCP server for Neo — submit tasks, track execution, and retrieve outputs.
2 stars73 downloads/wk
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If you have run it, two minutes of your experience saves the next person an afternoon.
Neo — AI/ML Engineering tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it
- Code scan32 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitystatic API keys via environment variables6/15
- Maintenancelast push 12 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
How Neo — AI/ML Engineering compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 85/100
- higher than 70% of 48,255 servers
- GitHub stars
- 2
- more than 75% of 28,688 servers
- Downloads a week
- 73
- more than 55% of 12,191 servers with a package
Install Neo — AI/ML Engineering in Claude Code, Cursor or VS Code
claude mcp add neo-mcp -- uvx neo-mcp
What the publisher says
From the Neo — AI/ML Engineering repository's README, as published. We do not edit it. Read it on GitHub
Neo MCP
Connect your AI editor to Neo's remote execution backend. Describe an AI/ML task in plain language — Neo trains the model, builds the pipeline, or runs the workload on its backend, then writes all output files directly to your local machine.
Works with Claude Code, Cursor, Windsurf, VS Code (GitHub Copilot), Zed, Continue.dev, and OpenAI Codex CLI.
Get your API key at heyneo.com/dashboard → Settings → API Keys.
How it works
Your editor ──MCP──▶ neo-mcp server ──API──▶ Neo backend
│ │
└──────────────────▶ Local daemon
(writes files,
runs scripts)- You describe a task: "Train a fraud detection model on data.csv"
- The editor calls neosubmittask via MCP
- Neo's backend processes the task and sends commands to the local daemon
- The daemon runs on your machine — writing files, running scripts, installing packages
- Output files appear directly in your workspace
Files are always written to your machine, never stored remotely.
Neo can also hold your third-party API keys (GitHub, HuggingFace, Anthropic, OpenRouter, OpenAI, AWS S3, Weights & Biases, Kaggle) locally so it can use them in tasks without re-prompting — keys stay on your machine, never sent to Neo's backend. Full guide: docs/INTEGRATIONS.md.
Install
Pick pip (Python 3.11+) or npm (Node.js 18+) — both work identically from the editor's perspective.
pip
pip install neo-mcpUse pipx install neo-mcp to avoid virtualenv conflicts.
npm
npm install -g neo-mcpInstall Node.js 18+ if needed: curl -fsSL https://deb.nodesource.com/setup_20.x | bash - && apt-get install -y nodejs
Connect to your editor
Replace sk-v1-YOUR_KEY with your actual API key. Pick the pip or npm command based on which you installed.
Claude Code
pip:
claude mcp add --scope user neo \
-e NEO_SECRET_KEY=sk-v1-YOUR_KEY \
-- neo-mcpnpm:
claude mcp add --scope user neo \
-e NEO_SECRET_KEY=sk-v1-YOUR_KEY \
-- neo-mcp-daemon --mcpOpen a new Claude Code session after running — tools load at session start, not mid-session.
Cursor
Open the config:
- GUI: Ctrl+Shift+J (Windows/Linux) or Cmd+Shift+J (Mac) → Tools & MCP → New MCP Server
- Or edit the file directly: ~/.cursor/mcp.json
pip:
{
"mcpServers": {
"neo": {
"command": "neo-mcp",
"env": { "NEO_SECRET_KEY": "sk-v1-YOUR_KEY" }
}
}
}npm:
{
"mcpServers": {
"neo": {
"command": "neo-mcp-daemon",
"args": ["--mcp"],
"env": { "NEO_SECRET_KEY": "sk-v1-YOUR_KEY" }
}
}
}Restart Cursor after editing the file directly. Changes via the GUI apply immediately.
Windsurf
Open the config:
- GUI: Ctrl+, (Windows/Linux) or Cmd+, (Mac) → Cascade → Plugins (MCP servers) → Manage Plugins → View raw config
- Or edit the file directly: ~/.codeium/windsurf/mcp_config.json
pip:
{
"mcpServers": {
"neo": {
"command": "neo-mcp",
"env": { "NEO_SECRET_KEY": "sk-v1-YOUR_KEY" }
}
}
}npm:
{
"mcpServers": {
"neo": {
"command": "neo-mcp-daemon",
"args": ["--mcp"],
"env": { "NEO_SECRET_KEY": "sk-v1-YOUR_KEY" }
}
}
}Changes apply on save — no restart needed.
VS Code (GitHub Copilot)
Requires VS Code 1.99+.
Open the config:
- Command Palette: Ctrl+Shift+P (Windows/Linux) or Cmd+Shift+P (Mac) → "Chat: Open Chat Customizations"
- Or edit the file directly: .vscode/mcp.json in your workspace root (create if it doesn't exist)
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Neo — AI/ML Engineering: common questions
- Is Neo — AI/ML Engineering MCP server safe?
- Yes, by our scan: it is graded A (85/100). Read the Neo — AI/ML Engineering safety report
- How do I install Neo — AI/ML Engineering?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Neo — AI/ML Engineering need an API key?
- Yes. The registry entry asks for
NEO_SECRET_KEY. - Is Neo — AI/ML Engineering maintained?
- The last commit was 50 days ago (2026-09-15). The latest release is v0.5.5.
- How does Neo — AI/ML Engineering compare with other MCP servers?
- safety score 85/100 (higher than 70% of 48,255 servers); github stars 2 (more than 75% of 28,688 servers); downloads a week 73 (more than 55% of 12,191 servers with a package). Full comparison.