InterviewFlowAI vs Pangolinfo Amazon Data MCP

In-depth architectural comparison of the InterviewFlowAI and Pangolinfo Amazon Data MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

I

Choose InterviewFlowAI when:

• You need dedicated capabilities in the Developer Tools domain.
• You prefer remote streaming HTTP/SSE transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore InterviewFlowAI Details

Choose Pangolinfo Amazon Data MCP when:

• You need dedicated capabilities in the Developer Tools domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (Free / Open Source).
• You have access to required keys: PANGOLINFO_API_KEY.
• Primary tools included: 19 Amazon, WIPO, and PACER data tools, Synchronous Python client, Hosted Streamable HTTP MCP endpoint.

Explore Pangolinfo Amazon Data MCP Details

Feature & Specification Comparison

Specification	I InterviewFlowAI Developer Tools	Pangolinfo Amazon Data MCP Developer Tools
Summary	Query InterviewFlowAI candidate and interview data from MCP-compatible AI assistants.	Real-time Amazon, WIPO & PACER data for AI agents — 19 tools via the MCP protocol.
Category & Scope	Developer Tools	Developer Tools

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "interviewflowai": {
      "url": "https://api.interviewflowai.com/mcp"
    }
  }
}

{
  "mcpServers": {
    "pangolinfo-amazon-data-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "pangolinfo-amazon-data-mcp"
      ],
      "env": {
        "PANGOLINFO_API_KEY": "YOUR_PANGOLINFO_API_KEY_HERE"
      }
    }
  }
}

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