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  2. costco-mcp-server/
  3. Alternatives

costco-mcp-server Alternatives

costco-mcp-server is an open-source MCP server that allows developers to access Costco warehouse receipts and online orders through a GraphQL API, supporting multi-account management and Azure AD B2C authentication. Below are 6 frameworks & sdks apps with similar functionality to costco-mcp-server, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.

  • aws-cost-mcp
    github.com

    MCP Server for AWS Cost Explorer — query costs, analyze EC2, detect anomalies, and generate cost reports

  • gmc-mcp
    github.com

    MCP server for Google Merchant Center on Merchant API v1. MIT-licensed, pip install-able, 126 tools across 19 modules with audit log, rollback, and dry-run.

  • pcp-mcp
    github.com

    pcp-mcp is an open-source MCP server designed for use with Performance Co-Pilot (PCP). It facilitates advanced monitoring and integration using the Model Context Protocol, making it suitable for system administrators and developers managing performance data.

  • openclaw-cost-tracker-mcp
    pypi.org

    openclaw-cost-tracker-mcp is an open-source MCP server that provides token-cost telemetry, quota-window awareness, anomaly detection, and spend forecasting for AI agents using providers like Anthropic, OpenAI, Gemini, and more. It helps AI ops teams manage costs and avoid quota exhaustion.

  • mcp-cn-commerce
    pypi.org

    mcp-cn-commerce is an open-source Python MCP server that enables AI agents to read and process business data from Chinese e-commerce platforms like Douyin Shop, JD.com, and Taobao. It is designed for developers building agent-based commerce solutions.

  • MCP Servers
    mcp.so

    MCP.so is a third-party marketplace for discovering, searching, and integrating MCP servers and clients. It provides a large collection of MCP servers, supports AI and agent integrations, and offers installation via API, CLI, and Docker. Designed for developers building AI-powered applications.