mcp-data-redis-interface

Security Audit

Operational Structure

The system architecture is organized as follows:

mcp-data-redis-interface/ ├── source_code/ │ ├── init.py │ ├── entrypoint.py # Primary execution locus │ ├── configuration.py # Parameter setup │ ├── linkage.py # Management of Redis connections │ ├── modules/ │ │ ├── init.py │ │ ├── health.py # Resources reporting connectivity status │ │ └── keys_mgmt.py # Resources for key manipulation │ └── tools/ │ ├── init.py │ ├── core_ops.py # Essential Redis interactions │ ├── streams.py # Operations involving lists/sequences │ ├── dictionaries.py # Operations for hash structures │ ├── unique_sets.py # Operations on set data types │ └── broadcaster.py # Publish/Subscribe functionality ├── tests_suite/ │ └── init.py ├── documentation.md └── project_manifest.toml

To deploy this service, adhere to these prerequisites:

Install necessary package dependencies:

[If environment setup is pending] Consult https://docs.astral.sh/uv/

Initialize virtual environment:

uv venv

Activate environment shell:

source .venv/bin/activate

Fetch dependencies:

uv sync

Configure Redis credentials by populating environment variables as detailed in the .env.example template.

Initiate the service process:

python source_code/entrypoint.py

Service Endpoints & Actions

Exposed Resources (Queryable Endpoints):

• redis://status - Reports current connection health
• redis://info - Retrieves metadata about the Redis instance
• redis://keys/{pattern} - Fetches keys matching a specified wildcard pattern

Available Tools (Executable Actions):

• Fundamental Operations:
  • get_value - Retrieve data associated with a key
  • set_value - Persist data to a key, optionally setting an expiration time (TTL)
  • delete_key - Erase a specified key
  • increment - Atomically boost the value of a numeric key
• Sequence Operations:
  • list_push - Append elements to a list structure
  • list_range - Extract a sub-segment of elements from a list
• Mapping Operations:
  • hash_set - Write or update field-value pairs within a hash
  • hash_get - Fetch specific fields or all fields from a hash
• Uniqueness Operations:
  • set_add - Introduce a unique element into a set
  • set_members - List all elements contained within a set
• Messaging:
  • publish_message - Broadcast data to subscribed channels

Robust exception management is integrated into every tool, ensuring informative feedback. The server module is designed for automatic re-establishment of the Redis link upon connection failure.

Testing is easily managed via the MCP Inspector: mcp dev source_code/entrypoint.py

Or for deployment within a specific environment: mcp install source_code/entrypoint.py

Illustrative Scenario

User: I need to know the operational status of the Redis connection. LLM: Checking the current connection state of the Redis backend for you.

[Consulting resource redis://status]

The persistent data store is confirmed online and operational, binding to localhost:6379 on database index 0.

User: Please secure my identifier "Alice" within Redis. LLM: I will utilize the set_value utility to persist "Alice" under the key "name" in Redis.

[Executing set_value with key="name" value="Alice" ] Key 'name' successfully written.

Your identifier "Alice" has been saved in Redis under the key "name". Shall I confirm the integrity of this storage by retrieving the data immediately?

User: Affirmative, perform the verification retrieval. LLM: Initiating data retrieval via the get_value tool.

[Calling get_value with key="name" ] Alice

I confirm the storage operation was successful; the retrieved data matches the input value "Alice" precisely.