About drand-mcp-server 🎲
drand-mcp-server gives AI applications access to verifiable randomness from the drand network. It supports retrieving the latest beacon or one selected by time or round.
Key features
- 01Fetch the latest drand quicknet beacon
- 02Retrieve a beacon by timestamp
- 03Retrieve a beacon by round number
- 04Access randomness for model-driven flows
Use cases
- 01Seed repeatable random sampling of input data
- 02Use verifiable randomness across MCP servers
- 03Check another random process against historical beacons
MCP support
The MCP server exposes tools for fetching the latest drand beacon or retrieving one by time or round.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
3Saved tool list · updated 3w ago
This tool takes no parameters.
Details
From the project READMEdrand-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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.