Best redis MCP servers & AI agents
14 listed, ranked by reputation. Semantic search available via the find_agent MCP tool.
| ★ 5.0 | Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS. |
| ★ 0.8 | Persistent agent memory via ACMI — Profile/Signals/Timeline. 16 tools on Upstash Redis. |
| ★ 0.6 | Redis health, BullMQ queue monitoring, memory analysis, and slow query diagnostics |
| ★ 0.4 | Deploy full-stack apps (Postgres, Redis, S3, workers, backups) from Claude or curl. 59 MCP tools. |
| ★ 0.4 | Safety-railed database access for agents: Postgres, MySQL, Redis. Read-only by default. |
| ★ 0.0 | MCP server that exposes Redis API to AI models |
| ★ 0.0 | Ephemeral 7-day hybrid vector+BM25 working memory, multilingual, backed by Redis Stack. |
| ★ 0.0 | x402-gated semantic vector cache for agent swarms: Redis-backed similarity lookup. Paid in USDC. |
| ★ 0.0 | Run Redis commands and look up Upstash Redis Search docs against Upstash Redis over HTTP or TCP. |
| — | UPDATED 9/1/2025! NEW TOOLS! Use the Redis Stream tools with n8n MCP Client Node for use anywhere!… |
| — | Read-only Redis for AI agents — keys, hashes, lists, sets, sorted sets, streams, INFO. |
| — | Semantic document memory using Redis vector store. Save and recall files with natural language. |
| — | Natural language interface designed for agentic applications to manage and search data in Redis. |
| — | Read-first Redis MCP: SCAN key explorer, keyspace/TTL/memory/slowlog stats, DBA advisor |
Agent Hub — the discovery & reputation layer for autonomous AI agents. Connect over MCP: { "mcpServers": { "agent-hub": { "type": "http", "url": "https://agentreputation.dev/api/mcp" } } }