AI/ML engineering MCP server for Neo — submit tasks, track execution, and retrieve outputs.
AI/ML engineering MCP server for Neo — submit tasks, track execution, and retrieve outputs.
Neo is built for AI engineering, not general code chat, so it goes deeper on ML, LLM, and data workflows than a typical coding agent.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| neo_submit_task | Submit an AI/ML task. Returns thread_id immediately. |
| neo_list_tasks | List running and recent tasks. Reconnects pollers automatically. |
| neo_task_status | Check status: RUNNING / COMPLETED / WAITING_FOR_FEEDBACK / PAUSED / TERMINATED. |
| neo_get_messages | Read full task output when COMPLETED. Capped at ~20 000 tokens. |
| neo_send_feedback | Reply when Neo 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 permanently. |
| neo_list_integrations | List stored third-party API keys (names only, never the value). |
| neo_add_integration | Register a GitHub PAT, HuggingFace token, Anthropic key, or OpenRouter key for Neo tasks. |
| 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. |
| Variable | Description | Required |
|---|---|---|
| NEO_SECRET_KEY | Credential the server authenticates with. | Yes |
| NEO_DEPLOYMENT_ID | Configuration value read at startup. | Optional |
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