Shopify
This Shopify MCP server, developed by Siddhant Bajaj, enables AI agents to interact with Shopify store data through a standardized interface. Built with Python and leveraging the Model Context Protocol, it provides tools for retrieving product and customer information from Shopify stores. The implementation focuses on simplifying access to e-commerce data, offering functionality to list products and customers with optional pagination. It's particularly useful for businesses looking to integrate AI-powered analytics or automation with their Shopify stores, enabling use cases such as inventory analysis, customer segmentation, and sales trend identification without directly dealing with Shopify's API complexities.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ecommerce
- Source
- PulseMCP
- Repository
- github.com/siddhantbajaj/shopify-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Shopify from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.