用法
结构如下:
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
要使用此服务器,您需要:
安装所需的依赖项:
[如果尚未安装] https://docs.astral.sh/uv/
uv venv
source .venv/bin/activate
uv sync
参考 .env.example 文件,通过添加适当的变量来配置您的 Redis 连接。
运行服务器:
python src/server.py
Related MCP server: Code Analysis MCP Server
此服务器的功能
资源:
工具:
基本操作:
get_value - 获取一个值
set_value - 设置可选到期值
delete_key——删除一个键
增量 - 增加一个数值
列表操作:
list_push - 将值推送到列表
list_range - 获取列表值的范围
哈希操作:
hash_set - 设置哈希字段
hash_get - 获取哈希字段
集合运算:
set_add-添加到集合
set_members - 获取集合成员
发布/订阅:
每个工具都包含错误处理功能并返回有意义的响应。如果连接丢失,服务器将自动重新连接到 Redis。
您可以使用 MCP 检查器进行测试: mcp dev src/server.py
或者在 Claude Desktop 中安装: mcp install src/server.py
例子
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.
此实现为通过 MCP 集成 Redis 奠定了坚实的基础。您可以根据具体用例的需求,添加更多 Redis 命令来进一步扩展它。