MCP.so
登录

README

@yaxhpal

关于 README

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

基本信息

分类

记忆与知识

许可证

MIT license

传输方式

stdio

发布者

yaxhpal

配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

FAQ from Conversive AI

What dependencies are required?

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

What is the runtime environment?

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

Where is configuration stored?

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

评论

记忆与知识 分类下的更多 MCP 服务器