Overview
what is AI Service Platform?
AI Service Platform is a cloud-ready service platform designed for executing AI-powered tools with integration of Model Context Protocol (MCP).
how to use AI Service Platform?
To use the AI Service Platform, clone the repository from GitHub, set up a virtual environment, and start the development server. You can then interact with the platform through REST API endpoints.
key features of AI Service Platform?
- Cloud Native Architecture with REST API endpoints for all operations.
- Stateless design with persistent tool configuration.
- Horizontal scaling support for better performance.
- Unified Tool Gateway for automatic discovery of MCP tools.
use cases of AI Service Platform?
- Executing natural language queries to interact with AI tools.
- Integrating various AI tools for seamless operations in cloud environments.
- Developing and deploying AI applications with ease.
FAQ from AI Service Platform?
- What are the prerequisites for using the platform?
You need Python 3.10 or higher to run the AI Service Platform.
- How do I list available tools?
You can list available tools by sending a GET request to the /tools endpoint.
- Can I scale the platform?
Yes, the platform supports horizontal scaling to handle increased loads.