awesome-iran-mcp
Enables AI agents to integrate Iranian e-commerce, food delivery, and healthcare platforms directly into workflows, reducing manual data collection and expan…
19 open-source MCP servers (308 tools) that give AI agents the Iranian web: Digikala, Snappfood, Jabama, MrBilit, Paziresh24, Taaghche and more. Prices in Toman.
- Ask Claude to check current product prices and availability on Digikala for procurement decisions.
- Generate comparison reports of Iranian e-commerce platforms to identify best vendor options.
- Automate data collection from multiple Iranian services for market research and analysis.
Enables AI agents to integrate Iranian e-commerce, food delivery, and healthcare platforms directly into workflows, reducing manual data collection and expanding automation scope in underserved regional markets.
Development teams building regional applications or AI assistants serving Iranian users or businesses operating in that market.
https://github.com/sepehr071/awesome-iran-mcp
By sepehr071
How to Get It
claude mcp add awesome-iran-mcp -- npx -y awesome-iran-mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Check current product prices and availability on Digikala for procurement decisions
Trust Signals Auto-scanned
Data & Access
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): 114 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.
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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
Scored from trust signals (evidence-eval-v1): 114 GitHub stars; contributors unknown; last commit 0d ago; license MIT.