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My Own Assistant MCP Server

@Interpause

基本信息

分类

AI 与智能体

传输方式

stdio

作者

Interpause

关于 My Own Assistant MCP Server

Whisper + TTS + As many MCP servers as I can stuff in

My Own Assistant MCP Server 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

My Own Assistant MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

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 My Own Assistant?

My Own Assistant is an experimental project to simplify creating a fully integrated AI assistant using the Model Context Protocol (MCP). It is designed to be fully self‑hosted by bringing your own OpenAI compatible API, taking advantage of models like Qwen3‑30B‑A3B. The repository is built on a FastAPI template that supports CPU/GPU acceleration and includes common development tooling.

How to use My Own Assistant?

Clone the repository and replace all instances of py‑api‑template with your own project name. Optionally rename the src folder. Ensure the virtual environment is active and poetry install has been run. Use poe dev to start the development server, poe build {version} to build a Docker image, and poe prod to run the image locally. VSCode’s debug task (F5) is available for debugging.

Key features of My Own Assistant

  • Fully self‑hosted with your own OpenAI compatible API
  • Built on a FastAPI template with automatic CPU/GPU detection
  • Package management via Poetry, formatting and linting via Ruff
  • Pre‑configured VSCode debugging tasks
  • Support for Dev Containers clone‑in‑volume feature
  • Docker image build and deployment workflows

Use cases of My Own Assistant

  • Creating a personal, self‑hosted AI assistant integrated with MCPs
  • Experimenting with high‑efficiency models such as Qwen3‑30B‑A3B
  • Using an OpenAI compatible API to power a custom assistant
  • Starting a FastAPI‑based MCP server project with ready‑to‑use tooling

FAQ from My Own Assistant

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