dicedb-mcp
A Model Context Protocol (MCP) server implementation for DiceDB to enable AI applications to interact with DiceDB databases.
Documentation
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@latestGet the path to the `dicedb-mcp` binary:
which dicedb-mcpBuild 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.gitChange into the directory:
cd dicedb-mcpInstall dependencies:
make depsBuild the project:
make buildUpdate your MCP servers configuration to point to the local build:
{
"mcpServers": {
"dicedb-mcp": {
"command": "/path/to/dicedb-mcp/dist/dicedb-mcp"
}
}
}License
Frequently asked questions
What is dicedb-mcp?
dicedb-mcp is A Model Context Protocol (MCP) server implementation for DiceDB to enable AI applications to interact with DiceDB databases.
How do I install dicedb-mcp?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is dicedb-mcp open source?
Yes — it is hosted on GitHub at https://github.com/pottekkat/dicedb-mcp and has 4 stars.
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