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Add Inference Labs MCP to model deployment and serving #35

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Expand Up @@ -151,6 +151,7 @@ Model serving is the process of taking a trained model and presenting it behind
| [Bodywork](https://www.bodyworkml.com) | AGPL-3.0 | |
| KServe | Apache 2.0 | |
| [MLEM](https://github.com/iterative/mlem) | Apache 2.0 | 🐶 Version and deploy your ML models following GitOps principles |
| [Inference Labs MCP](https://github.com/bosslesss/inference-labs-mcp) | Apache 2.0 | Vendor-neutral MCP server for LLM routing and comparison across OpenAI/Azure, Anthropic, Google, and Bedrock. Includes auth-free pricing and model recommendation tools for cost-aware serving workflows. |


# Model monitoring
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