README
These are MCP servers which I have implemented. Feel free to utilize them if you need.
Overview
What is MCP Servers?
MCP Servers are implementations of Conversive AI project aimed at providing core Gen AI services to the Conversive framework.
How to use MCP Servers?
To use MCP Servers, clone the Conversive AI repository, set up a virtual environment, install the required dependencies, configure environment variables, and run the application.
Key features of MCP Servers?
- Core Gen AI services for Conversive framework
- Easy setup with virtual environment
- Flask-based application for web access
Use cases of MCP Servers?
- Integrating AI services into Conversive applications.
- Developing conversational AI solutions.
- Testing and deploying AI models in a controlled environment.
FAQ from MCP Servers?
- What is the purpose of MCP Servers?
MCP Servers provide essential AI services for the Conversive framework, enabling developers to build and deploy conversational applications.
- Is there a guide for setting up MCP Servers?
Yes! The README provides detailed steps for cloning the repository, setting up the environment, and running the application.
- What programming language is used?
The project is implemented in Python, utilizing Flask for the web framework.
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