what is mcp-central?

mcp-central is a collection of model-centric MCP servers designed to facilitate the deployment and management of machine learning models.

how to use mcp-central?

To use mcp-central, clone the repository from GitHub and follow the setup instructions provided in the documentation to deploy the servers.

key features of mcp-central?

• Centralized management of multiple model-centric servers
• Easy deployment and scaling of machine learning models
• Support for various model types and frameworks

use cases of mcp-central?

1. Deploying machine learning models for real-time inference.
2. Managing multiple versions of models for A/B testing.
3. Facilitating collaboration among data scientists and engineers.

FAQ from mcp-central?

• What types of models can be managed with mcp-central?

mcp-central supports a variety of machine learning models, including those built with popular frameworks like TensorFlow and PyTorch.

• Is there a cost associated with using mcp-central?

mcp-central is open-source and free to use under the Apache-2.0 license.

• How can I contribute to mcp-central?

Contributions are welcome! Please refer to the contribution guidelines in the repository for more details.