Enables retail merchandising recommendations via an MCP server that ranks candidates with a Thompson-sampling bandit, tracks per-tenant monthly spend caps, and exposes recommend, record_feedback, and budget_status tools over JSON-RPC stdio.
A production-ready MCP server offering text analysis tools, an in-memory key-value store, and system info resources with support for both stdio and HTTP transports.
A dual-transport MCP server that exposes your API as tools to LLM clients, supporting both stdio transport for local clients like Claude Desktop and HTTP/SSE transport for remote clients like OpenAI's Responses API.