Neo - AI/ML Engineering MCP Server

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. Its 12 documented tools cover neo, task, integration.

People who work with neo, task and integration and want it reachable from Claude, Cursor, VS Code, or another MCP client. The project is written in Python.

VERIFIED ACTIVE

LAST COMMIT 2026-09-15 · ★ 2 · #45 OF 160 MAINTAINED PRODUCTIVITY · VERIFIED 2026-09-18

MIT · Python servers · how we verify → /methodology

01 · Install Neo - AI/ML Engineering

before you install - you'll need

NEO_SECRET_KEY

Environment variables documented in the project's README - it lists which are required and which have defaults.

Claude Code

claude mcp add neoairesearch-neo-mcp -- uvx neo-mcp

Claude Desktop / Cursor / VS Code - add to config

{
  "mcpServers": {
    "neoairesearch-neo-mcp": {
      "command": "uvx",
      "args": [
        "neo-mcp"
      ]
    }
  }
}

Same JSON for Cursor. For VS Code, rename the top-level key from `mcpServers` to `servers`.

Using another client? Same JSON, different key

Claude Desktop · mcpServers

Cursor · mcpServers

VS Code · servers

Windsurf · mcpServers

Zed · context_servers

Cline · mcpServers

Roo Code · mcpServers

Continue · mcpServers

LibreChat · mcpServers

Gemini CLI · mcpServers

Codex CLI · mcp_servers

Full setup guides: every client.

02 · Evidence

Security posture

What to check before giving this server access to your agent - from the registry, GitHub, and our own probes. We don't score safety; we show what's verifiable.

runs as local process (stdio) - runs on your machine with your user's permissions

license MIT - declared in the repository

pypi package neo-mcp - check the name against the project README before installing (PyPI has no namespace ownership)

registry namespace io.github.NeoAIResearch is GitHub-verified and matches the repo owner

03 · What Neo - AI/ML Engineering can do

Prose above is summarized from the project's README and registry record - no invented capabilities.

What you can build

With this server connected, an agent can list all running and recent tasks - useful after reopening your editor, check status: RUNNING / COMPLETED / WAITING_FOR_FEEDBACK / PAUSED / TERMINATED, read full task output once status is COMPLETED. Capped at ~20 000 tokens, and pause a running task. Can be resumed.

The 12 tools it gives your agent

Extracted from the project's README - what Neo - AI/ML Engineering lets an agent do.

neo_submit_task: - Submit a task to Neo. Returns thread_id immediately.
neo_list_tasks: - List all running and recent tasks - useful after reopening your editor.
neo_task_status: - Check status: RUNNING / COMPLETED / WAITING_FOR_FEEDBACK / PAUSED / TERMINATED.
neo_get_messages: - Read full task output once status is COMPLETED. Capped at ~20 000 tokens.
neo_send_feedback: - Reply to Neo when it asks a clarifying question (WAITING_FOR_FEEDBACK).
neo_pause_task: - Pause a running task. Can be resumed.
neo_resume_task: - Resume a paused task.
neo_stop_task: - Permanently stop and clean up a task.
neo_list_integrations: - List stored third-party API keys (names only - never the value).
neo_add_integration: - Register a credential (GitHub, HuggingFace, Anthropic, OpenRouter, OpenAI, AWS S3, Weights & Biases, Kaggle) so Neo tasks can use it as an env var.
neo_test_integration: - Call the provider's API to confirm a stored key is still valid.
neo_remove_integration: - Delete a stored key from this machine.

04 · Who maintains Neo - AI/ML Engineering

Neo - AI/ML Engineering is maintained by neoairesearch. It's the only MCP server we track from this author; the repo dates to May 2026.

05 · Facts

repository: github.com/neoairesearch/neo-mcp
website: https://heyneo.com/
category: productivity - ranked #45 of 160 actively-maintained productivity servers as of 2026-09-18.
registry: io.github.NeoAIResearch/neo-mcp (active, first published 2026-06-08)
packages: pypi:neo-mcp

06 · Neo - AI/ML Engineering FAQ

Is Neo - AI/ML Engineering still maintained?

Yes - as of 2026-09-18, its last commit was 2026-09-15. We re-verify nightly.

What can Neo - AI/ML Engineering do?

How do I install Neo - AI/ML Engineering?

Run `uvx neo-mcp`. The README documents one environment variable (NEO_SECRET_KEY) to set first. You can also paste the ready-made client config above.

Does Neo - AI/ML Engineering run locally?

Yes - it's a stdio server: it runs on your machine (via uvx) with your user's permissions. Your data stays local unless the server itself calls external APIs.

07 · Alternatives to Neo - AI/ML Engineering

Alternatives to Neo - AI/ML Engineering

Maintained productivity servers if Neo - AI/ML Engineering isn't the fit.

Pairs well with

Servers that cover what Neo - AI/ML Engineering doesn't - only shown when the pairing reason fits the companion.

More productivity MCP servers · Toolcairn MCP · Lit Forge MCP · Orbit (noveum) · Shinobi · Forge Orchestrator

More Python MCP servers · Neonia: The Cloud Backend for AI Agents · Stremio MCP Server · Agent Droid Bridge · Korg Ledger · Neural Memory · see all