drand-mcp-server

drand-mcp-server

Enables AI applications to fetch verifiable randomness from the drand network, supporting latest, time-based, and round-based beacon retrieval.

Category
Visit Server

README

drand-mcp-server 🎲

build

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+ - 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

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 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

  • [x] fetch latest randomness
  • [x] fetch randomness by round
  • [x] fetch randomness by time
  • [ ] select items from a list

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured