Mcp Server Redis
About
MCP server to interact with Redis Server, AWS Memory DB, etc for caching or other use-cases where in-memory and key-value based storage is appropriate
Details
- Author
- prajwalnayak7
- GitHub stars
- 24
- Downloads
- 322
- Categories
- Database
Jump to
- Exposes Redis connection status and server info as resources
- Provides tools for basic key-value operations (get, set, delete, increment)
- Supports list, hash, and set data structure operations
- Enables Pub/Sub messaging via publish_message tool
- Automatic reconnection on connection loss
- Error handling with meaningful responses
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Mcp Server RedisCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install dependencies using uv (see pyproject.toml), configure the Redis connection via environment variables (refer to .env.example), and run the server with python src/server.py. The server can be tested with the MCP Inspector (mcp dev src/server.py) or installed in Claude Desktop (mcp install src/server.py).
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp server redis": {
"mcp-server-redis": {
"command": "python",
"args": [
"src/server.py"
]
}
}
}
}
McpServers
{
"mcp-server-redis": {
"command": "python",
"args": [
"src/server.py"
]
}
}
Usage
The structure is as follows:
mcp-server-redis/
├── src/
│ ├── __init__.py
│ ├── main.py # Main entry point
│ ├── config.py # Configuration
│ ├── connection.py # Redis connection management
│ ├── resources/ # Resource implementations
│ │ ├── __init__.py
│ │ ├── status.py # Connection status resources
│ │ └── keys.py # Key-related resources
│ └── tools/ # Tool implementations
│ ├── __init__.py
│ ├── basic.py # Basic Redis operations
│ ├── lists.py # List operations
│ ├── hashes.py # Hash operations
│ ├── sets.py # Set operations
│ └── pubsub.py # Pub/Sub operations
├── tests/ # Test directory
│ └── __init__.py
├── README.md
└── pyproject.toml
To use this server, you'll need to:
Install the required dependencies:
[If not already installed] https://docs.astral.sh/uv/
uv venv
source .venv/bin/activate
uv sync
Refer to the .env.example file to configure your Redis connection by adding the appropriate variables.
Run the server:
python src/server.py
Capabilities of this server
Resources:
- redis://status - Current connection status
- redis://info - Redis server information
- redis://keys/{pattern} - List keys matching a pattern
Tools:
- Basic operations:
- get_value - Get a value
- set_value - Set a value with optional expiry
- delete_key - Delete a key
- increment - Increment a numeric value
- List operations:
- list_push - Push values to a list
- list_range - Get range of list values
- Hash operations:
- hash_set - Set hash fields
- hash_get - Get hash fields
- Set operations:
- set_add - Add to a set
- set_members - Get set members
- Pub/Sub:
- publish_message - Publish a message
Each tool includes error handling and returns meaningful responses. The server will automatically reconnect to Redis if the connection is lost.
You can test it with the MCP Inspector:
mcp dev src/server.py
Or install it in Claude Desktop:
mcp install src/server.py
Example
User: What's the current Redis connection status?
LLM: Let me check the Redis connection status for you.
[Reading resource redis://status]
The Redis server is currently connected and running on localhost:6379, database 0.
User: Can you store my name "Alice" in Redis?
LLM: I'll help you store your name in Redis using the set_value tool.
[Calling set_value with key="name" value="Alice"]
Successfully set key 'name'
I've stored your name "Alice" in Redis under the key "name". Would you like me to verify the value was stored correctly by retrieving it?
User: Yes please verify it
LLM: I'll retrieve the value using the get_value tool.
[Calling get_value with key="name"]
Alice
Yes, I can confirm that your name "Alice" was successfully stored in Redis and can be retrieved correctly. The value matches exactly what we stored.
##
This implementation provides a solid foundation for Redis integration through MCP. You can extend it further by adding more Redis commands as needed for your specific use case.
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