About DiceDB MCP
DiceDB MCP is an MCP server that lets AI applications interact with DiceDB databases. Its tools cover connectivity checks and basic key-value operations, using the DiceDB Go SDK.
Key features
- 01Check DiceDB connectivity with PING
- 02Echo messages through DiceDB
- 03Get and set values by key
- 04Delete one or more keys
- 05Increment or decrement integer values
Use cases
- 01Check whether a DiceDB server is reachable
- 02Read or update values in DiceDB
- 03Remove keys or adjust integer counters
MCP support
The server exposes DiceDB connectivity checks, message echoing, key-value retrieval and updates, deletion, and integer increment and decrement as MCP tools.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEDiceDB 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
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.