Service Cloud FAQs

Question 1

How do I deploy Service Cloud?

Accepted Answer

Service Cloud deployment requires Python 3.10 or later. Follow the instructions in the repository's README to clone, set up a virtual environment, install dependencies, and start the development server.

Question 2

What are the key features of Service Cloud?

Accepted Answer

Key features include a cloud-native architecture with REST API endpoints, stateless design for persistent tool configuration, horizontal scaling support, automatic discovery of MCP tools, and a unified tool gateway.

Question 3

What is Service Cloud?

Accepted Answer

Service Cloud is a cloud-ready platform designed for executing AI-powered tools with Model Context Protocol (MCP) integration. It provides a scalable and efficient way to deploy and manage AI services.

Question 4

How do I use the Service Cloud API?

Accepted Answer

Service Cloud provides REST API endpoints for interacting with the platform. You can list available tools using GET /tools and execute natural language queries using POST /query.

Question 5

What is Model Context Protocol (MCP)?

Accepted Answer

Model Context Protocol (MCP) is a protocol that facilitates communication and context sharing between AI models and services. Service Cloud uses MCP for seamless tool integration.

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