KEVAREMESH AI Procurement Gateway vs TerraVision

In-depth architectural comparison of the KEVAREMESH AI Procurement Gateway and TerraVision 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?

K

Choose KEVAREMESH AI Procurement Gateway when:

• You need dedicated capabilities in the Cloud Platforms domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore KEVAREMESH AI Procurement Gateway Details

Choose TerraVision when:

• You need dedicated capabilities in the Cloud Platforms domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore TerraVision Details

Feature & Specification Comparison

Specification	K KEVAREMESH AI Procurement Gateway Cloud Platforms	TerraVision Cloud Platforms
Summary	AI procurement gateway that selects, adapts, and routes live x402 APIs for autonomous agents.	Cloud architecture diagrams generated from terraform plan, with official AWS, Azure, GCP icons
Category & Scope	Cloud Platforms	Cloud Platforms

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": {
    "kevaremesh-ai-procurement-gateway-2": {
      "command": "npx",
      "args": [
        "-y",
        "kevaremesh-ai-procurement-gateway-2"
      ]
    }
  }
}

{
  "mcpServers": {
    "terravision": {
      "command": "uvx",
      "args": [
        "terravision"
      ]
    }
  }
}

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