Question 1

What is MCP Server?

Accepted Answer

MCP Server is a tool that extracts real-time streaming media addresses from various live streaming platforms like Douyu, Huya, and Bilibili, enabling playback in media players and integration with AI applications.

Question 2

What platforms does MCP Server support?

Accepted Answer

MCP Server supports a wide range of platforms, including Bilibili, Douyu, Douyin (TikTok), Huya, Kuaishou, NetEase CC, Huajiao, Inke, and more.

Question 3

How do I use MCP Server?

Accepted Answer

You can use MCP Server via its Command-Line Interface (CLI) for scripting and automation, or its Graphical User Interface (GUI) for interactive use. You can download the executable from the [Releases page](https://github.com/Borber/seam/releases) and configure it using the `config.toml` file.

Question 4

What is the `config.toml` file for?

Accepted Answer

The `config.toml` file allows you to configure various settings, such as the path to your media player, HTTP headers (including cookies for certain platforms), and file naming conventions for recordings.

Question 5

Do I need cookies to use MCP Server with all platforms?

Accepted Answer

Yes, some platforms, like Douyin and Kuaishou, require cookies for MCP Server to function correctly. You can set these in the `config.toml` file.

Question 6

What is UBOS?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform designed to help businesses orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with their own LLM models, and create Multi-Agent Systems.

Question 7

How does MCP Server integrate with UBOS?

Accepted Answer

By integrating MCP Server with UBOS, you can seamlessly incorporate real-time live streaming data into your AI Agent workflows. This enables you to build AI Agents that can analyze live streams, moderate content, provide real-time question answering, and more.

Question 8

What are the benefits of using MCP Server with UBOS?

Accepted Answer

Using MCP Server with UBOS allows you to leverage real-time insights from live streams to drive business value, create engaging user experiences, and automate tasks within live streams. You can also combine streaming data with existing enterprise data for richer insights.

Question 9

How can I contribute to MCP Server?

Accepted Answer

MCP Server is an open-source project, and contributions from the community are welcome. You can contribute by submitting bug reports, feature requests, or code contributions via the [GitHub repository](https://github.com/Borber/seam).

Question 10

Where can I download MCP Server?

Accepted Answer

You can download the latest GUI/CLI executable from the [Releases page](https://github.com/Borber/seam/releases).

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