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README MCP Server

@yaxhpal

Basic information

Category

Memory & Knowledge

License

MIT license

Transports

stdio

Author

yaxhpal

About README MCP Server

These are MCP servers which I have implemented. Feel free to utilize them if you need.

#mcp-servers#conversive-ai#gen-ai

README MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

README MCP Server tools

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Overview

What is Conversive AI?

Conversive AI is a project that provides core Gen AI services to the Conversive framework. It is designed for developers using the Conversive framework.

How to use Conversive AI?

Clone the repository, create a virtual environment, install dependencies from requirements.txt, configure environment variables in a .env file, set Flask app and environment variables, then run flask run. Access the application at http://127.0.0.1:5000.

Key features of Conversive AI

  • Provides core generative AI services
  • Integrates with the Conversive framework
  • Uses Flask as the web application framework
  • Python 3.9 virtual environment required
  • Configuration via .env file
  • Supports testing environment via ENV="TEST"

Use cases of Conversive AI

  • Building Gen AI functionality within the Conversive framework
  • Running a local Flask server for AI service development

Frequently asked questions

1

What dependencies are required?

All required packages are listed in `requirements.txt` and must be installed via pip.

2

What is the runtime environment?

The application runs on Python 3.9 with a Flask server, accessed locally at port 5000.

3

Where is configuration stored?

Environment variables are modified in the `.env` file before running the application. — — —

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