What is the key difference between OnchainAI and Agentlens?

OnchainAI belongs to the Monitoring category with local stdio execution, while Agentlens belongs to the Monitoring category with local stdio execution.

How do I install OnchainAI 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 OnchainAI and Agentlens free or paid?

OnchainAI 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?

OnchainAI lists 11 tools with 0 views and 1 GitHub stars. Agentlens lists 6 tools with 3 views and 18 GitHub stars.

Can I use both OnchainAI 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 OnchainAI 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 OnchainAI and Agentlens free to use, or do they require API keys?

OnchainAI 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 OnchainAI and Agentlens at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both onchainai 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, OnchainAI has a Quality Score of 52 /100 ( Good ) with 0 views, 0 installs, and 1 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

OnchainAI vs Agentlens

In-depth architectural comparison of the OnchainAI 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

OnchainAI

Monitoring · Local stdio

Quality: 52/100 (Good) | Auth: No auth required

Agentlens

Monitoring · Local stdio

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

Verdict Summary: Choose OnchainAI 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 OnchainAI 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: search_tools, get_tool_detail, get_install_guide.

Explore OnchainAI 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.

Explore Agentlens Details

Feature & Specification Comparison

Specification	O OnchainAI Monitoring	Agentlens agentkitai Monitoring
Summary	Crypto tool directory MCP for AI agents — discover MCP/CLI/SDK/API/x402 tools with trust metadata.	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	Monitoring

Tools & Capabilities Breakdown

OnchainAI Tools (11)

search_tools

Search by capability ("bridge USDC to Base"), filter by category/chain, sort by relevance/trust/stars/recent

get_tool_detail

Full metadata for one tool: trust score, install risk, chains, repo, x402 pricing

get_install_guide

Platform-specific install steps (claude / cursor / generic / cli) with safety gating — `critical`-risk commands are withheld

list_categories

Browse the taxonomy with tool counts

get_dashboard_snapshot

Public coverage snapshot: totals, categories, trust, x402, featured

compare_tools

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).

OnchainAI Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "onchainai": {
      "command": "npx",
      "args": [
        "-y",
        "add-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

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

More alternatives to OnchainAI More alternatives to Agentlens Monitoring category hub Canonical compare URL