What is the key difference between Anteos Booking and Hormonaly Clinical Intelligence?

Anteos Booking belongs to the Biology & Bioinformatics category with local stdio execution, while Hormonaly Clinical Intelligence belongs to the Biology & Bioinformatics category with cloud HTTP/SSE execution.

How do I install Anteos Booking or Hormonaly Clinical Intelligence 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.

Which MCP server has more tools and community activity?

Anteos Booking lists 0 tools with 0 views and 0 GitHub stars. Hormonaly Clinical Intelligence lists 0 tools with 0 views and 2 GitHub stars.

Can I use both Anteos Booking and Hormonaly Clinical Intelligence 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 Anteos Booking or Hormonaly Clinical Intelligence 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 Anteos Booking and Hormonaly Clinical Intelligence free to use, or do they require API keys?

Anteos Booking is listed under a Free / Open Source model with No auth required . Hormonaly Clinical Intelligence 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 Anteos Booking and Hormonaly Clinical Intelligence at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both anteos-booking-2 and hormonaly-clinical-intelligence 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, Anteos Booking has a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Hormonaly Clinical Intelligence holds a Quality Score of 41 /100 ( Fair ) with 0 views, 0 installs, and 2 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Anteos Booking vs Hormonaly Clinical Intelligence

Q: Are Anteos Booking and Hormonaly Clinical Intelligence free or paid?

Anteos Booking operates under a Free / Open Source model (No auth required). Hormonaly Clinical Intelligence operates under a Free / Open Source model (No auth required).

In-depth architectural comparison of the Anteos Booking and Hormonaly Clinical Intelligence 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

Anteos Booking

Biology & Bioinformatics · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Hormonaly Clinical Intelligence

Biology & Bioinformatics · Remote HTTP/SSE

Quality: 41/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Anteos Booking if you need specialized Biology & Bioinformatics tools running via a local process. Choose Hormonaly Clinical Intelligence if your workspace requires Biology & Bioinformatics integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Anteos Booking when:

You need dedicated capabilities in the Biology & Bioinformatics domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Anteos Booking Details

Choose Hormonaly Clinical Intelligence when:

You need dedicated capabilities in the Biology & Bioinformatics domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Hormonaly Clinical Intelligence Details

Feature & Specification Comparison

Specification	A Anteos Booking Biology & Bioinformatics	H Hormonaly Clinical Intelligence Biology & Bioinformatics
Summary
Category & Scope	Biology & Bioinformatics	Biology & Bioinformatics
Quality signal

Tools & Capabilities Breakdown

Anteos Booking Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Hormonaly Clinical Intelligence Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

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).

Anteos Booking Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "anteos-booking-2": {
      "command": "npx",
      "args": [
        "-y",
        "anteos-booking-2"
      ]
    }
  }
}

Hormonaly Clinical Intelligence Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "hormonaly-clinical-intelligence": {
      "url": "https://img.shields.io/badge/status-status.hormonaly.ai-brightgreen)](https://status.hormonaly.ai"
    }
  }
}

Frequently Asked Questions

Anteos Booking is categorized under Biology & Bioinformatics and uses a local stdio subprocess. In contrast, Hormonaly Clinical Intelligence belongs to Biology & Bioinformatics using remote streaming HTTP/SSE transport. Select Anteos Booking when you need capabilities focused on biology & bioinformatics and Hormonaly Clinical Intelligence when you require tools for biology & bioinformatics.

More alternatives to Anteos Booking More alternatives to Hormonaly Clinical Intelligence Biology & Bioinformatics category hub