Redis
This MCP server, developed by Prajwal S Nayak, provides a Redis integration for caching and key-value storage use cases. Built with Python and leveraging the Model Context Protocol, it offers tools to interact with Redis servers and AWS MemoryDB. The implementation focuses on providing a standardized interface for Redis operations within the MCP ecosystem, supporting both local and cloud-based Redis deployments. It's particularly useful for applications requiring fast, in-memory data storage and retrieval, enabling use cases such as caching frequently accessed data, managing session information, and implementing real-time analytics without complex database setups.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/prajwalnayak7/mcp-server-redis
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Redis from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.