广告合作
MCP.so
登录

BenBox MCP Server

@DrBenjamin

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

DrBenjamin

关于 BenBox MCP Server

Agent AI app utilizing MCP tools with Angular mobile and Phoenix desktop app.

#python#angular#phoenix#js#ts#image-recognition#streamlit#mcp-server

BenBox MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "BenBox": {
      "command": "python",
      "args": [
        "-m",
        "pip",
        "install",
        "mcp[cli]"
      ]
    }
  }
}

BenBox 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 BenBox?

BenBox is an Agent AI application that uses Model Context Protocol (MCP) tools, integrating with Ollama, Azure OpenAI, Snowflake, PostgreSQL, and MinIO. It provides an Angular mobile app and a Phoenix desktop app, targeting developers building cloud-native AI agents for image recognition and file organization.

How to use BenBox?

Clone the repository, create a conda environment from environment.yml, install the mcp package, and run the MCP server (python src/server.py or mcp dev src/server.py). Launch the Streamlit app with streamlit run app.py, the Angular mobile app with ng serve, or the desktop app with python BenBox.py. Configure secrets in .streamlit/st.secrets.toml (e.g., MCP_URL, AZURE_OPENAI_API_KEY, Ollama settings).

Key features of BenBox

  • SSE‑based MCP server for decoupled agent communication.
  • Supports Ollama and Azure OpenAI as LLM providers.
  • Image recognition via Streamlit upload or MCP Inspector.
  • Angular mobile app with Capacitor for iOS.
  • Desktop app (PyInstaller) for file organization.
  • Docker support for containerized deployment.
  • Integration with Snowflake, PostgreSQL, and MinIO storage.

Use cases of BenBox

  • Build an AI agent that recognizes images using a local or cloud LLM.
  • Run a mobile image‑upload interface connected to an MCP server.
  • Organize and manage files with a desktop GUI backed by MinIO.
  • Deploy a cloud‑native agent with decoupled MCP client and server.

常见问题

1

What runtime dependencies does BenBox require?

BenBox requires Python 3, Node.js, npm, conda, Ollama (for local models), and optionally Azure CLI for Azure OpenAI.

2

Where does data persist in BenBox?

User data can be stored in Snowflake or PostgreSQL, and file storage uses MinIO buckets. Configuration is set via `.streamlit/st.secrets.toml`.

3

How does the MCP server communicate?

The MCP server runs on HTTP (SSE) — configurable via `MCP_URL` in secrets, defaulting to `http://127.0.0.1:8080`. Clients connect over this transport.

4

How is authentication handled?

Azure OpenAI requires `az login` (or `az login --use-device-code`). MinIO uses access/secret keys. No built‑in auth for the MCP server itself is documented.

5

Can BenBox run in a container?

Yes, Dockerfiles are provided for the MCP server (`Dockerfile_MCP`), Streamlit app, Angular app, and the desktop VNC container. Use `docker-compose up -d` to start all services.

评论

其他 分类下的更多 MCP 服务器

Klarix Intelligence Engine

Klarix

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

FastMCP v2 🚀

jlowin

🚀 The fast, Pythonic way to build MCP servers and clients.

26.0K

Handl

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

Health by Dr Brad

Dr Brad Stanfield

Health by Dr Brad works out a health plan from your own results: which screening is due at your age, and evidence-based suggestions, each with the reason and the published guideline or study behind it. Your record is one

Awesome Mlops

visenger

A curated list of references for MLOps

14.0K
广告合作