What is the key difference between TensorFeed x402 Base Reader and Agentlens?

TensorFeed x402 Base Reader belongs to the Monitoring category with local stdio execution, while Agentlens belongs to the Monitoring category with local stdio execution.

How do I install TensorFeed x402 Base Reader or Agentlens in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are TensorFeed x402 Base Reader and Agentlens free or paid?

TensorFeed x402 Base Reader operates under a Free / Open Source model (No auth required). Agentlens operates under a Free / Open Source model (API Key required).

Which MCP server has more tools and community activity?

TensorFeed x402 Base Reader lists 15 tools with 0 views and 2 GitHub stars. Agentlens lists 6 tools with 3 views and 18 GitHub stars.

Can I use both TensorFeed x402 Base Reader and Agentlens together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

How do I install TensorFeed x402 Base Reader or Agentlens in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are TensorFeed x402 Base Reader and Agentlens free to use, or do they require API keys?

TensorFeed x402 Base Reader is listed under a Free / Open Source model with No auth required . Agentlens operates under a Free / Open Source model with API Key required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both TensorFeed x402 Base Reader and Agentlens at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both tensorfeed-x402-base-reader and agentkitai-agentlens as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, TensorFeed x402 Base Reader has a Quality Score of 53 /100 ( Good ) with 0 views, 0 installs, and 2 GitHub stars. Agentlens holds a Quality Score of 57 /100 ( Good ) with 3 views, 0 installs, and 18 GitHub stars.

Side-by-Side Model Context Protocol Comparison

TensorFeed x402 Base Reader vs Agentlens

In-depth architectural comparison of the TensorFeed x402 Base Reader and Agentlens 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.

At a Glance & Executive Verdict

TensorFeed x402 Base Reader

Monitoring · Local stdio

Quality: 53/100 (Good) | Auth: No auth required

Agentlens

Monitoring · Local stdio

Quality: 57/100 (Good) | Auth: API Key required

Verdict Summary: Choose TensorFeed x402 Base Reader if you need specialized Monitoring tools running via a local process. Choose Agentlens if your workspace requires Monitoring integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

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 Agentlens when:

You need dedicated capabilities in the Monitoring domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Free / Open Source).
You have access to required keys: AUTH_DISABLED, JWT_SECRET.
Primary tools included: SHA-256 hash-chained, append-only audit log, Cryptographically verifiable event chain to detect tampering, Multiple integration options: OpenTelemetry, OpenClaw, MCP, SDKs.

Feature & Specification Comparison

Specification	TensorFeed x402 Base Reader Monitoring	Agentlens agentkitai Monitoring
Summary	Read-only Base mainnet reader. Verifies x402 payment settlements + AFTA federation status.	Tamper-evident observability for AI agents: a SHA-256 hash-chained audit log with chain verification and signed export (EU AI Act Art. 12). Instrument any agent with zero code via npx -y @agentlensai/mcp; also ingests OpenTelemetry GenAI traces.
Category & Scope	Monitoring

Tools & Capabilities Breakdown

TensorFeed x402 Base Reader Tools (15)

balance

Native ETH balance for an address

usdc_balance

USDC (Circle native bridged) balance for an address

block_number

Latest Base block number

get_tx_receipt

Full tx receipt with status, gas, and logs summary

call

Read-only contract call (eth_call, never broadcasts)

recent_transfers

USDC Transfer events involving an address over N blocks

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).

TensorFeed x402 Base Reader Configuration

mcpServers (Claude Desktop / Cursor)

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

Agentlens Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "agentkitai-agentlens": {
      "command": "npx",
      "args": [
        "-y",
        "@agentkitai/agentlens-server"
      ],
      "env": {
        "AUTH_DISABLED": "YOUR_AUTH_DISABLED_HERE",
        "JWT_SECRET": "YOUR_JWT_SECRET_HERE"
      }
    }
  }
}

Frequently Asked Questions

TensorFeed x402 Base Reader is categorized under Monitoring and uses a local stdio subprocess. In contrast, Agentlens belongs to Monitoring using local stdio subprocess. Select TensorFeed x402 Base Reader when you need capabilities focused on monitoring and Agentlens when you require tools for monitoring.

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