M-kip/clarifai_mcp_server
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The Clarifai MCP Server is a framework designed to facilitate the deployment and management of AI models on the Clarifai platform, integrating models from various sources.
clarifai_mcp_server
Author
Name: M-kip
Email: m.kip@example.com
GitHub: m-kip
Objective
The main objective of this project is to provide a framework for uploading a custom Model Customization Platform (MCP) server to Clarifai using the Python SDK. This server enables seamless integration and deployment of AI models from various sources, including:
- Clarifai Models: Utilize pre-trained or custom models available on the Clarifai platform.
- Hugging Face Models: Integrate models from the Hugging Face Hub for NLP, vision, and more.
- OpenAI Models: Leverage OpenAI's powerful models for advanced AI tasks.
This project aims to simplify the process of deploying and managing custom AI inference endpoints on Clarifai, supporting a wide range of use cases and model sources.
Document Structure
- README.md: Project overview, author, license, objective, and structure.
- requirements.txt: Python dependencies for the project.
- /src/: Source code for the MCP server and integration logic.
- main.py: Entry point for running the MCP server.
- clarifai_integration.py: Functions for interacting with the Clarifai API.
- huggingface_integration.py: Functions for using Hugging Face models.
- openai_integration.py: Functions for using OpenAI models.
- /tests/: Unit and integration tests for the project.
- /docs/: Additional documentation and usage guides.
- LICENSE: Full text of the MIT License.
License
This project is licensed under the MIT License.