Frequently Asked Questions (FAQ) about WuWa MCP Server

Q: What is the WuWa MCP Server?

A: The WuWa MCP Server is a Model Context Protocol (MCP) server that provides character and artifact information from the game Wuthering Waves in a format optimized for Large Language Models (LLMs).

Q: What is MCP?

A: MCP stands for Model Context Protocol. It is an open protocol that standardizes how applications provide context to LLMs, enabling them to access and interact with external data sources and tools.

Q: What kind of information does the WuWa MCP Server provide?

A: The server provides detailed information about characters (abilities, lore, statistics), artifacts (properties, optimal usage), and character profiles from Wuthering Waves.

Q: How do I install the WuWa MCP Server?

A: You can install it using Smithery (recommended) or directly from PyPI using uv pip install wuwa-mcp-server.

Q: How do I use the WuWa MCP Server?

A: You can integrate it with AI development environments like Cherry Studio or Claude Desktop. The server provides tools to query character and artifact data.

Q: What are the benefits of using the WuWa MCP Server with UBOS?

A: Integrating with UBOS allows you to orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents using the game-specific data from the WuWa MCP Server, leading to more innovative AI solutions.

Q: Can I contribute to the WuWa MCP Server project?

A: Yes, contributions are highly encouraged! You can submit bug reports, feature requests, and pull requests.

Q: What license is the WuWa MCP Server released under?

A: The project is licensed under the MIT License.

Q: Where can I find the WuWa MCP Server on the UBOS Asset Marketplace?

A: The server is available on the UBOS Asset Marketplace, where you can explore its features and integrate it into your AI agent development workflows.

Q: What is UBOS?

A: UBOS is a Full-stack AI Agent Development Platform. UBOS is focused on bringing AI Agents to every business department. The platform helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.