What is the key difference between Lucidity Mcp and OnchainAI?

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

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

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

Which MCP server has more tools and community activity?

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

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

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

Yes! MCP clients support multi-server orchestration. You can include both hyperb1iss-lucidity-mcp and onchainai 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, Lucidity Mcp has a Quality Score of 55 /100 ( Good ) with 4 views, 0 installs, and 89 GitHub stars. OnchainAI holds a Quality Score of 52 /100 ( Good ) with 1 views, 0 installs, and 1 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Lucidity Mcp vs OnchainAI

In-depth architectural comparison of the Lucidity Mcp 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.

At a Glance & Executive Verdict

Lucidity Mcp

Monitoring · Remote HTTP/SSE

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

OnchainAI

Monitoring · Local stdio

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

Verdict Summary: Choose Lucidity Mcp if you need specialized Monitoring tools running via a hosted cloud SSE transport. Choose OnchainAI 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 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

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

Feature & Specification Comparison

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

Tools & Capabilities Breakdown

Lucidity Mcp Tools (3)

analyze_changes

Prepares git changes for analysis through MCP

workspace_root

The root directory of the workspace/git repository

path

Optional specific file path to analyze

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

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).

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/"
    }
  }
}

OnchainAI Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

More alternatives to Lucidity Mcp More alternatives to OnchainAI Monitoring category hub