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daiso-mcp

Connector Development Solid
Works inClaude Code Claude Cowork Claude Chat
Solid 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.

346 starsMIT (commercial OK)FreeNo code needed

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

Stars346Contributors9Last updated2026-10-30LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-31 · scanner v1

Data & Access

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

Community Pulse Quiet

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.

catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 333 GitHub stars; 7 contributors; last commit 5d 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
4/5
Security
4/5
Overall score3.65 / 5.00 SolidEvaluatedSep 2026
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 333 GitHub stars; 7 contributors; last commit 5d ago; license MIT.

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