TensorFeed x402 Base Reader vs OnchainAI

In-depth architectural comparison of the TensorFeed x402 Base Reader and OnchainAI 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?

Choose TensorFeed x402 Base Reader when:

• You need dedicated capabilities in the Monitoring domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: balance, usdc_balance, block_number.

Explore TensorFeed x402 Base Reader Details

Choose OnchainAI when:

• You need dedicated capabilities in the Monitoring domain.
• You prefer remote streaming HTTP/SSE transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: search_tools, get_tool_detail, get_install_guide.

Explore OnchainAI Details

Feature & Specification Comparison

Specification	TensorFeed x402 Base Reader Monitoring	OnchainAI Monitoring
Summary	Read-only Base mainnet reader. Verifies x402 payment settlements + AFTA federation status.	Crypto tool directory MCP for AI agents — discover MCP/CLI/SDK/API/x402 tools with trust metadata.
Category & Scope	Monitoring	Monitoring

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": {
    "tensorfeed-x402-base-reader": {
      "command": "npx",
      "args": [
        "-y",
        "@tensorfeed/x402-base-mcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "onchainai": {
      "url": "https://www.onchain-ai.xyz/mcp"
    }
  }
}

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