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mcp-servers

by yaxhpal

This repository contains the Conversive AI project, which aims to provide core Gen AI services to the Conversive framework.

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What is mcp-servers?

This is a Conversive AI project providing core Gen AI services to the Conversive framework.

How to use mcp-servers?

To set up the application, clone the repository, create a virtual environment, install dependencies from requirements.txt, configure environment variables in the .env file, and run the application using flask run.

Key features of mcp-servers

  • Core Gen AI services

  • Flask-based application

  • Configurable environment variables

  • Python 3.9 compatibility

Use cases of mcp-servers

  • Providing AI services to Conversive frameworks

  • Developing Gen AI applications

  • Integrating AI into existing systems

FAQ from mcp-servers

What is the purpose of this repository?

This repository provides core Gen AI services to the Conversive framework.

How do I install the dependencies?

Use pip install -r requirements.txt after activating the virtual environment.

Where do I configure the environment variables?

Modify the environment variables in the .env file.

How do I run the application?

Set FLASK_APP=src/main.py, ENV="TEST", and PYTHONPATH=$PWD, then run flask run.

Who do I contact for questions?

Contact Yashpal Meena at [email protected].