drand-mcp-server 🎲

Use verifiable randomness in your AI application. This Model Context Protocol (MCP) server enables you to get a random value from the drand network, verify its validity and use it as an input seed to your model-driven flows!

Use Cases

• repeatable, random sampling of input data

• interaction with other MCP servers in a verifiable manner (e.g. paying out rewards based on a prompt)

• verifying the output of another random process using historical drand beacons

Related MCP server: Random-Generator

Prerequisites

• a relatively recent version of node (v21+ - fetch is required)

Installation

You can run the MCP server either using npx or after building locally.

Usage with VS Code

Create a file called .vscode/mcp.json in your workspace (or in your home directory) and add the following code:

{
  "servers": {
    "drand": {
      "command": "npx",
      "args": [
        "drand-mcp-server"
      ]
    }
  }
}

For additional info, see the VS Code docs on MCP

Usage with Claude

You can run the drand-mcp-server alongside claude desktop by adding the following to your config:

{
  "mcpServers": {
    "drand": {
      "command": "npx",
      "args": [
        "drand-mcp-server"
      ]
    }
  }
}

Tools

The following tools are available from the MCP server

Building from source

• install dependencies with npm install

• build the application with npm run build

• run the application with either npm start or node ./dist/index.mjs

You can also configure VS Code and Claude as above, replacing the command/args with the following:

  "command": "node",
  "args": ["/path/to/my/project/drand-mcp-server/dist/index.mjs"]

Roadmap

• fetch latest randomness

• fetch randomness by round

• fetch randomness by time

• select items from a list