What is the key difference between OnchainAI and Lucidity Mcp?

OnchainAI belongs to the Monitoring category with local stdio execution, while Lucidity Mcp belongs to the Monitoring category with cloud HTTP/SSE execution.

How do I install OnchainAI or Lucidity Mcp 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 Lucidity Mcp free or paid?

OnchainAI operates under a Free / Open Source model (No auth required). Lucidity Mcp operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

OnchainAI lists 11 tools with 1 views and 1 GitHub stars. Lucidity Mcp lists 3 tools with 4 views and 89 GitHub stars.

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

OnchainAI is listed under a Free / Open Source model with No auth required . Lucidity Mcp operates under a Free / Open Source model with No auth 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 Lucidity Mcp at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both onchainai and hyperb1iss-lucidity-mcp 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 1 views, 0 installs, and 1 GitHub stars. Lucidity Mcp holds a Quality Score of 55 /100 ( Good ) with 4 views, 0 installs, and 89 GitHub stars.

Side-by-Side Model Context Protocol Comparison

OnchainAI vs Lucidity Mcp

In-depth architectural comparison of the OnchainAI and Lucidity 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.

At a Glance & Executive Verdict

OnchainAI

Monitoring · Local stdio

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

Lucidity Mcp

Monitoring · Remote HTTP/SSE

Quality: 55/100 (Good) | Auth: No auth required

Verdict Summary: Choose OnchainAI if you need specialized Monitoring tools running via a local process. Choose Lucidity Mcp if your workspace requires Monitoring integration with remote web transport. 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 Lucidity Mcp 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: analyze_changes, workspace_root, path.

Explore Lucidity Mcp Details

Feature & Specification Comparison

Specification	O OnchainAI Monitoring	Lucidity Mcp hyperb1iss Monitoring
Summary	Crypto tool directory MCP for AI agents — discover MCP/CLI/SDK/API/x402 tools with trust metadata.	Enhance AI-generated code quality through intelligent, prompt-based analysis across 10 critical dimensions from complexity to security vulnerabilities
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"
      ]
    }
  }
}

Lucidity Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "hyperb1iss-lucidity-mcp": {
      "url": "https://img.shields.io/badge/python-3.13+-9D00FF.svg?style=for-the-badge&logo=python&logoColor=white)](https://www.python.org/downloads/"
    }
  }
}

Frequently Asked Questions

OnchainAI is categorized under Monitoring and uses a local stdio subprocess. In contrast, Lucidity Mcp belongs to Monitoring using remote streaming HTTP/SSE transport. Select OnchainAI when you need capabilities focused on monitoring and Lucidity Mcp when you require tools for monitoring.

More alternatives to OnchainAI More alternatives to Lucidity Mcp Monitoring category hub Canonical compare URL