Redis
This Redis MCP server, created by fahrankaz, provides a bridge between Model Context Protocol clients and Redis databases. It supports core Redis operations like GET, SET, SADD, SMEMBERS, ZADD, ZRANGE, ZRANGEBYSCORE, ZREM, HGET, HGETALL, HMSET, DEL, and SCAN. The implementation is designed as a lightweight CLI tool that starts a Node.js server, making it easy to integrate with existing MCP setups. It's particularly useful for scenarios requiring fast, in-memory data storage and retrieval within AI workflows, such as caching intermediate results or maintaining session state across multiple AI interactions.
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/farhankaz/redis-mcp
- 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.