Mcp Redis Server
Let your coding agent read and write Redis keys, caches, and simple data structures without you hand-writing redis-cli commands during feature work.
Overview
io.github.daedalus/mcp-redis-server is a MCP server for the Build phase that exposes Redis API operations to AI models over stdio.
What is this MCP server?
- stdio MCP server (PyPI package mcp-redis-server v0.1.0) for Claude Code, Cursor, and compatible hosts
- Exposes Redis API operations to the model so agents can inspect keys, TTLs, and cache state in context
- Fits solo stacks using Redis for sessions, rate limits, job queues, or hot-path caching
- Repository: github.com/daedalus/mcp-redis-server with Model Context Protocol server.schema.json metadata
- Complements application code skills—this is live datastore access, not schema design alone
- Server version 0.1.0 on Model Context Protocol registry schema 2025-12-11
- Single PyPI package mcp-redis-server with stdio transport
- Open-source repository at github.com/daedalus/mcp-redis-server
What problem does it solve?
Debugging cache misses and session bugs means context-switching into redis-cli while your agent cannot see what is actually stored.
Who is it for?
Indie developers building SaaS or APIs who use Redis for cache or sessions and want the agent to verify live data during integration work.
Skip if: Teams without Redis in the stack, or anyone who needs managed provisioning, backups, or cluster ops instead of agent-side API access.
What do I get? / Deliverables
After you register the server, your agent can query and manipulate Redis through MCP tools aligned with your running instance.
- MCP-registered Redis tool surface for your coding agent
- Agent-assisted inspection and updates against your configured Redis database
- Faster integration debugging without leaving the IDE chat flow
Recommended MCP Servers
Journey fit
Redis wiring usually happens while you are building backend features, queues, and session layers—not during first ideation. Integrations is the canonical shelf for MCP bridges that connect an agent to an external datastore your app already depends on.
How it compares
Live Redis MCP integration, not a Redis hosting skill or ORM migration generator.
Common Questions / FAQ
Who is mcp-redis-server for?
Solo and small-team builders shipping backends that already use Redis and want their AI agent to inspect or update keys through MCP instead of manual CLI steps.
When should I use mcp-redis-server?
Use it during Build integrations when you are wiring caching, sessions, or queues and need the agent to read real Redis state while editing application code.
How do I add mcp-redis-server to my agent?
Install the PyPI package mcp-redis-server, configure stdio transport in your MCP client, point connection settings at your Redis instance, and restart Claude Code or Cursor so the Redis tools load.