Drand
oficialAn MCP server for fetching verifiable random numbers from the drand network.
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
Prerequisites
- a relatively recent version of node (v21+ -
fetchis 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
| Name | Params | Description |
|---|---|---|
| get-randomness-latest | none | fetches the latest available beacon from drand quicknet |
| get-randomness-by-time | time in milliseconds | fetches the randomness beacon emitted at or just before the time |
| provided | ||
| get-randomness-by-round | round | fetches the randomness beacon emitted with a given round number |
Building from source
- install dependencies with
npm install - build the application with
npm run build - run the application with either
npm startornode ./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
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