Kroger
Kroger MCP server provides AI assistants with access to Kroger's grocery shopping API through a comprehensive set of tools for store location management, product search, and cart operations. Developed by Stephen Thoemmes using the FastMCP framework, it handles OAuth2 authentication with browser-based flows, maintains local cart tracking since Kroger's API doesn't support cart viewing, and includes features like bulk cart operations, order history management, and product image retrieval. The implementation is particularly valuable for building AI shopping assistants that can help users find nearby stores, search for products with pricing and aisle information, manage shopping lists, and guide users through the complete grocery shopping workflow from product discovery to cart management.
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
- browser-automation
- Source
- PulseMCP
- Repository
- github.com/cupofowls/kroger-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Kroger 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.