About Mcp Server Redis
Mcp Server Redis is an MCP server for interacting with Redis Server and AWS Memory DB. It targets caching and other in-memory, key-value storage use cases.
Key features
- 01Resources for connection status and server info
- 02Key listing by pattern via redis://keys/{pattern}
- 03Tools for string, list, hash and set operations
- 04Pub/Sub message publishing tool
- 05Automatic reconnection when the connection is lost
Use cases
- 01Reading and writing cached values from an MCP client
- 02Managing list, hash or set data from an AI agent
- 03Publishing messages to Redis channels via Pub/Sub
MCP support
This project is an MCP server that exposes resources (connection status, server info, key lists) and tools (get_value, set_value, list_push, hash_set, publish_message and others) to MCP clients.
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 READMEUsage
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.
Comments
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