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DiceDB MCP

DiceDB MCP

Public
pottekkat/dicedb-mcp

Enables seamless interaction between AI applications and DiceDB databases via Model Context Protocol, offering key-value operations such as get, set, delete, increment, decrement, ping, and echo for efficient data management.

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0 tools
May 30, 2025
Updated Jun 4, 2025

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DiceDB MCP

A Model Context Protocol (MCP) server implementation for DiceDB to enable interactions between AI applications (hosts/clients) and DiceDB database servers.

This implementation uses the DiceDB Go SDK to communicate with DiceDB.

Check out the demo video to see it in action!

Features

  • PING DiceDB to check connectivity.
  • ECHO a message through DiceDB.
  • GET a value from DiceDB by key.
  • SET a key-value pair in DiceDB.
  • DEL one or more keys from DiceDB.
  • INCR the integer value of a key by one.
  • DECR the integer value of a key by one.

Installation

Download Binary

You can download and use the appropriate binary for your operating system and processor archetecture from the "Releases" page.

Install via Go

Prerequisites:

  • Go 1.24 or higher
go install github.com/pottekkat/dicedb-mcp@latest

Get the path to the dicedb-mcp binary:

which dicedb-mcp

Build from Source

See Development section below.

Usage

With MCP Hosts/Clients

Add this to your claude_desktop_config.json for Claude Desktop or mcp.json for Cursor:

{ "mcpServers": { "dicedb-mcp": { "command": "path/to/dicedb-mcp" } } }

With OpenAI Agents SDK

The example below shows how to use the dicedb-mcp server with the OpenAI Agents SDK:

from agents import Agent, Runner, trace from agents.mcp import MCPServer, MCPServerStdio from dotenv import load_dotenv import os import openai import asyncio load_dotenv() async def run(mcp_server: MCPServer, prompt: str, server_url: str): agent = Agent(name="DiceDB MCP", instructions=f"""You can interact with a DiceDB database running at {server_url}, use this for url.""", mcp_servers=[mcp_server],) result = await Runner.run(starting_agent=agent, input=prompt) print(result.final_output) async def main(): openai.api_key = os.getenv("OPENAI_API_KEY") prompt = "Can you change the value of the 'name' key to 'Rachel Green'?" server_url = "localhost:7379" async with MCPServerStdio( cache_tools_list=True, params={"command": "path/to/dicedb-mcp", "args": [""]}, ) as server: with trace(workflow_name="DiceDB MCP"): await run(server, prompt, server_url) if __name__ == "__main__": asyncio.run(main())

Available Tools

ping

Pings a DiceDB server to check connectivity.

echo

Echoes a message through the DiceDB server.

get

Retrieves a value from DiceDB by key.

set

Sets a key-value pair in DiceDB.

del

Deletes one or more keys from DiceDB.

incr

Increments the integer value of a key by one.

decr

Decrements the integer value of a key by one.

Development

Fork and clone the repository:

git clone https://github.com/username/dicedb-mcp.git

Change into the directory:

cd dicedb-mcp

Install dependencies:

make deps

Build the project:

make build

Update your MCP servers configuration to point to the local build:

{ "mcpServers": { "dicedb-mcp": { "command": "/path/to/dicedb-mcp/dist/dicedb-mcp" } } }

License

MIT License

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