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daiso-mcp

Connector Development Usable
Works inClaude Code Claude Cowork Claude Chat
Usable Scanned — metadata only

Enables integration of Korean retail and cinema data into development workflows, reducing manual lookups and enabling location-based feature development for …

Connects Korean local retail, daily-life, and cinema lookups to AI via MCP, CLI, and Codex Skill. Covers Daiso, Olive Young, and Lotte Mart plus convenience stores (GS25, 7-Eleven, CU, emart24) for products, stores, and inventory; CGV, Megabox, and Lotte Cinema showtimes and seat availability; restaurants and cafes via Naver local search; and gas prices via Opinet. Runs as a hosted service on Cloudflare Workers — no API key required.

320 starsMIT (commercial OK)FreeNo code needed
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Enables integration of Korean retail and cinema data into development workflows, reducing manual lookups and enabling location-based feature development for Korean market applications.

Korean market-focused development teams building location-aware or retail integration features.

Claude Code Claude Cowork Claude Chat

https://github.com/hmmhmmhm/daiso-mcp

By hmmhmmhm

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add daiso-mcp https://mcp.aka.page --transport http

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

Once it’s connected, paste this into Claude:

Help me find nearest Daiso store locations and operating hours for my team
CostFree

Trust Signals Auto-scanned

Stars320Contributors7Last updated2026-08-18LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-18 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 306 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.25 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 306 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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