Frequently Asked Questions about drand-mcp-server

Q: What is drand-mcp-server?

A: drand-mcp-server is a Model Context Protocol (MCP) server that allows AI models to access and utilize verifiable randomness from the drand network.

Q: What is drand?

A: drand is a distributed randomness beacon that generates publicly verifiable randomness.

Q: What is MCP?

A: MCP stands for Model Context Protocol. MCP is an open protocol that standardizes how applications provide context to LLMs. MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools.

Q: What are the use cases for drand-mcp-server?

A: Use cases include repeatable random sampling of input data, verifiable interactions with other MCP servers, verifying the output of another random process, fair AI decision making and secure game mechanics.

Q: How do I install drand-mcp-server?

A: You can install drand-mcp-server using npx or by building it locally from source. See the installation instructions in the documentation.

Q: What tools are available in drand-mcp-server?

A: The server provides tools to fetch the latest randomness, fetch randomness by time, and fetch randomness by round.

Q: How do I integrate drand-mcp-server with VS Code?

A: Detailed instructions are provided in the documentation for configuring VS Code to work with drand-mcp-server.

Q: How do I integrate drand-mcp-server with Claude?

A: Configuration instructions for Claude are available in the documentation.

Q: Can I use drand-mcp-server with UBOS?

A: Yes, integrating drand-mcp-server with UBOS allows you to seamlessly incorporate verifiable randomness into your AI agent workflows.