Redis MCP Server is a service that lets AI agents manage, query, and search structured or unstructured data stored in Redis through natural-language requests using the Model Context Protocol. It is for agentic applications that need to store conversations or sessions, cache data, and index or search vectors and Redis collections. The catalogue instruction supports using this server with coding-agent and other MCP-client workflows.
Borrowing it
Nothing to install: this file belongs to redis/mcp-redis. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/redis/mcp-redis/main/GEMINI.mdgit clone --depth 1 https://github.com/redis/mcp-redisWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/redis/mcp-redis/gemini-md)<a href="https://agentmods.dev/instructions/redis/mcp-redis/gemini-md"><img src="https://agentmods.dev/badge/instructions/redis/mcp-redis/gemini-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/redis/mcp-redis/gemini-md"><img src="https://agentmods.dev/badge/instructions/redis/mcp-redis/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01534 | $0.01534 |
| Opus 5.5 | $0.00614 | $0.00614 |
| Sonnet 5.5 | $0.00307 | $0.00307 |
| Haiku 4.5 | $0.00153 | $0.00153 |
Grade A, and why
mcp-redis GEMINI.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- mcp-amr GEMINI.md — 100% identical, 0 lines differ
- mcp-redis GEMINI.md — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Redis MCP Server Extension
This extension provides a natural language interface for managing and searching data in Redis through the Model Context Protocol (MCP).
What this extension provides
The Redis MCP Server enables AI agents to efficiently interact with Redis databases using natural language commands. You can:
- Store and retrieve data: Cache items, store session data, manage configuration values
- Work with data structures: Manage hashes, lists, sets, sorted sets, and streams
- Search and filter: Perform efficient data retrieval and searching operations
- Pub/Sub messaging: Publish and subscribe to real-time message channels
- JSON operations: Store, retrieve, and manipulate JSON documents
- Vector search: Manage vector indexes and perform similarity searches
Available Tools
String Operations
- Set, get, and manage string values with optional expiration
- Useful for caching, session data, and simple configuration
Hash Operations
- Store field-value pairs within a single key
- Support for vector embeddings storage
- Ideal for user profiles, product information, and structured objects
List Operations
- Append, pop, and manage list items
- Perfect for queues, message brokers, and activity logs
Set Operations
- Add, remove, and list unique set members
- Perform set operations like intersection and union
- Great for tracking unique values and tags
Sorted Set Operations
- Manage score-based ordered data
- Ideal for leaderboards, priority queues, and time-based analytics
Pub/Sub Operations
- Publish messages to channels and subscribe to receive them
- Real-time notifications and chat applications
Stream Operations
- Add, read, and delete from data streams
- Event sourcing, activity feeds, and sensor data logging
JSON Operations
- Store, retrieve, and manipulate JSON documents
- Complex nested data structures with path-based access
Vector Search
- Manage vector indexes and perform similarity searches
- AI/ML applications and semantic search
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 185 lines · 1,534 tokens per session scan A ca016d06cb58
mcp-redis GEMINI.md is an instructions file published in the GitHub repository redis/mcp-redis (641 stars, last pushed 3d ago), licensed MIT. It adds 1,534 tokens to every session, about $0.0061 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
mcp-redis GEMINI.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcp-redis GEMINI.mdredis/mcp-redis | Instructions file | 641 | 3d ago | MIT | A | 1,534 | Gemini CLI |
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| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |