Your private model, inside every tool
Fine-tune a model on Nucleus, then expose it behind MCP. The editors and agents your teams already use connect with one configuration block.
{
"mcpServers": {
"nucleus": {
"url": "https://api.nucleus-ai.io/mcp",
"headers": { "Authorization": "Bearer nk_live_8x…" }
}
}
}One endpoint, every client
Your fine-tuned model is reachable from any tool that speaks MCP. The client sends a message; Nucleus handles the inference.
Scoped credentials
The key the client holds carries only the scopes it needs. Bind it to one project, and a leaked key reaches that project alone.
The same key, three routes
One API key authenticates MCP, the OpenAI-compatible route and the Anthropic-compatible route. No separate credentials per protocol.
Expose your fine-tuned model to MCP clients
A model trained on Nucleus is served through a private endpoint. The MCP server wraps that endpoint so any MCP-compatible tool can reach it. The client authenticates with your API key and addresses the model by its checkpoint path or base model ID.
Results from LLMs powered by Nucleus
downtime prevented this month
rerouted in a single fleet optimisation
monthly revenue re-attributed in marketing
prediction accuracy on equipment failures
Line 3's next failure, booked into the maintenance window
47 trucks rerouted while they were still moving
What MCP on Nucleus includes
Protocol
- MCP compliant
- Streamable HTTP transport
- JSON-RPC messages
Authentication
- Scoped API keys (read, train, infer, admin)
- Project-bound credentials
- Environment prefixes: nk_live_, nk_test_
Compatibility
- OpenAI-compatible route (/v1)
- Anthropic-compatible route (/anthropic)
- One key for all three protocols
Governance
- Four access policy gates on every call
- Append-only audit trail
- Revocation on the next request
Served tokens
Served tokens
Calls through MCP are metered the same way as any private endpoint: per million input and output tokens. Language models from $0.15/Mtok (Nemotron 3.5 Lightning) to $6.50/Mtok (Kimi K3).
Pick your path
Harness
Permissions, scoped keys and audit
On-Premise Deployment
Our GPU servers, your site
Tool use
Your private APIs as skills
RAG
Answers from your documents
Webhooks
Signed events to your systems
Go deeper
Put your private model in every tool your team uses
Fine-tune a model, configure MCP, and the editors and agents connect the same day.