com.googleapis.memorystore-mcp-mcp

com.googleapis.memorystore-mcp-mcp is a skill for Claude Code, Codex from Friz-zy/ai-capability-registry. It costs 23 tokens per session (248 once invoked), scanned A, original, MIT.

A connection for managing Memorystore for Valkey instances and backups. Valkey is an in-memory data store often used for fast access to temporary or frequently used data.

In plain words
What is it for?
Use it to manage Valkey instances and backups in Google Cloud Memorystore.
Why use it?
It helps manage the cache service and its backups without handling each operation manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to manage Valkey instances and backups in Google Cloud Memorystore.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/friz-zy/ai-capability-registry/com.googleapis.memorystore-mcp
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Friz-zy/ai-capability-registry --skill com.googleapis.memorystore-mcp
Clone the repo
git clone --depth 1 https://github.com/Friz-zy/ai-capability-registry

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for com.googleapis.memorystore-mcp-mcp

README.md
[![agentmods](https://agentmods.dev/badge/skills/friz-zy/ai-capability-registry/com.googleapis.memorystore-mcp/github.svg)](https://agentmods.dev/skills/friz-zy/ai-capability-registry/com.googleapis.memorystore-mcp)
Your own site
<a href="https://agentmods.dev/skills/friz-zy/ai-capability-registry/com.googleapis.memorystore-mcp"><img src="https://agentmods.dev/badge/skills/friz-zy/ai-capability-registry/com.googleapis.memorystore-mcp/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.

agentmods 80×15 button for com.googleapis.memorystore-mcp-mcp

Your own site · 80×15
<a href="https://agentmods.dev/skills/friz-zy/ai-capability-registry/com.googleapis.memorystore-mcp"><img src="https://agentmods.dev/badge/skills/friz-zy/ai-capability-registry/com.googleapis.memorystore-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 248 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00023 $0.00248
Opus 5 $0.00012 $0.00124
Sonnet 5 $0.00005 $0.00050
Haiku 4.5 $0.00002 $0.00025

Measured 6d ago against content hash e2267d8795d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

com.googleapis.memorystore-mcp-mcp 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 6d 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.

mcp/servers/com.googleapis.memorystore-mcp/SKILL.md · 50 lines

What it actually says

mcp

Provides tools to manage Memorystore for Valkey instances and backups.

When to use

  • Use mcp only when the task directly involves the relevant service, SaaS product, platform, or technology.

Connection

Hosted endpoint

{
  "type": "streamable_http",
  "url": "https://memorystore.googleapis.com/mcp"
}

MCP instructions

References

Security policy

  • Trust: trusted
  • Default mode: manual_review
  • Permission default: manual_review
  • Authentication: Unspecified in source metadata
  • Warning: Default mode is manual_review.
  • Warning: Permission default is manual_review.
  • Required posture: Complete manual review before connecting or invoking tools; this generated record does not grant approval.
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 6d ago First seen · 50 lines · 23 tokens per session scan A e2267d8795d9

Subscribe to this mod's changes

com.googleapis.memorystore-mcp-mcp is a skill published in the GitHub repository Friz-zy/ai-capability-registry (9 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 248 once invoked, about $0.0001 per session on Opus 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 2026-09-03.

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