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Neo MCP Server

Run AI/ML tasks on Neo's remote backend directly from Claude Code, Cursor, Windsurf, Zed, VS Code, Continue.dev, and OpenAI Codex CLI.


Quickstart

pip install neo-mcp
neo-mcp setup

The setup wizard detects your editors, prompts for your Neo secret key, and writes all config files automatically.


No-install option — hosted endpoint

Point any MCP client directly at the hosted server:

Field Value
URL https://mcp.heyneo.so/mcp
Header Authorization: Bearer sk-v1-...

Get your key from the Neo dashboard.


What you need

  • Neo account with a secret key (sk-v1-...)
  • Python 3.11+ or Docker

No VS Code extension required for task submission and tracking.


What Neo is for

Neo runs AI/ML work on a remote backend so it does not block your local machine:

  • Training or fine-tuning models (classification, regression, NLP, computer vision)
  • Building AI agents and multi-agent workflows
  • RAG pipelines and vector search systems
  • LLM integrations and prompt engineering pipelines
  • ML data preprocessing and feature engineering

For general coding your assistant works locally — it only routes to Neo for AI/ML tasks.


Example session

You:       "Train a fraud detection model on fraud.csv"
Assistant: Submitting to Neo…
           ⏳ Step 1: Load and preprocess fraud.csv
           ⏳ Step 2: Train XGBoost with cross-validation
           ✅ Step 3: Evaluate — AUC-ROC: 0.94
           Done. Model saved to fraud_model.pkl

Available tools

Tool Description
neo_submit_task Submit an AI/ML task. Returns a thread_id; background polling tracks progress. Supports wait_for_completion=true to block and return output directly for short tasks.
neo_task_plan Show Neo's live step-by-step execution plan with per-step status, result summaries, and file paths. Use while RUNNING instead of fetching full messages.
neo_task_status Check overall task status: RUNNING, WAITING_FOR_FEEDBACK, PAUSED, COMPLETED, TERMINATED.
neo_get_messages Read the full conversation output once the task is COMPLETED.
neo_send_feedback Reply to Neo when it asks a question (WAITING_FOR_FEEDBACK).
neo_pause_task Pause a running task.
neo_resume_task Resume a paused task.
neo_stop_task Stop and clean up a task.

How it works

neo_submit_task
      │
      ├─ POST /v2/thread/init-chat-direct  →  thread_id
      │         (deployment_type: vscode)
      │
      └─ background poller starts
              │
              ├── GET /v2/thread/status/{thread_id}   (every 3–15 s)
              │         stores status + plan steps in memory
              │
              └── GET /v2/thread/thread-messages      (on COMPLETED)
                        cached for neo_get_messages

All polling uses thread_id — works with NEO_SECRET_KEY auth only. No OAuth required.


Manual registration (Claude Code)

# Local — pip (recommended)
claude mcp add --scope user neo \
  -e NEO_SECRET_KEY=sk-v1-... \
  -- neo-mcp

# Remote — hosted endpoint (no local install)
claude mcp add --transport http neo https://mcp.heyneo.so/mcp \
  --header "Authorization: Bearer sk-v1-..."

See docs/CLIENTS.md for all editors.


Configuration

Variable Required Description
NEO_SECRET_KEY Yes Secret key (sk-v1-...) — sole auth token
NEO_API_KEY No Legacy access key, not used for auth
NEO_DEPLOYMENT_ID No Pin a specific VS Code extension deployment ID
NEO_READ_ONLY No true = expose only status/plan/message tools
NEO_WORKSPACE_DIR No Override working directory (useful in Docker)

Troubleshooting

Symptom Fix
Invalid API key (401) Re-check NEO_SECRET_KEY
Trial or quota ended (403) Top up at Neo dashboard
Task submitted but no files written locally Requires VS Code/Cursor extension running locally with an active daemon
neo-mcp command not found Re-run pip install neo-mcp and check your PATH
Output truncated Cap is ~20 000 tokens — use neo_task_plan for a concise summary
Status stuck on RUNNING Call neo_task_plan to see which step is blocked

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