SERVER

Atlas Scientific EZO Sensors

Rank #58,857

io.github.K-Dense-AI/labmcp-atlas-ezo

MCP server for Atlas Scientific EZO sensor circuits (pH, ORP, DO, EC, RTD, HUM, CO2, PRS) over UART.

3 versions

9 GitHub stars

by k-dense-ai (34 servers)View repository ↗Claim this server

First listed

Sep 25, 2026

Last publish date

Sep 26, 2026

OVERVIEW

Atlas Scientific EZO Sensors is a Model Context Protocol (MCP) server published by k-dense-ai. It ranks #58,857 of 137,492 servers tracked on MCP Toplist, and its repository has 9 GitHub stars. Atlas Scientific EZO Sensors is listed on Official MCP, with 3 tracked versions. It was first listed on Sep 25, 2026 and most recently updated on Sep 26, 2026.

STANDING

#58,857of 137,492 tracked serversTop 50%

Ranks ahead of 78,635 of 137,492 servers on MCP Toplist.

CONNECT

Use Atlas Scientific EZO Sensors

No setupRuns out of the box

No credentials or required configuration declared — add it to your MCP client and go.

Python package (PyPI)

claude mcp add labmcp-atlas-ezo -e "LABMCP_ADDRESS=<your LABMCP_ADDRESS>" -e "LABMCP_SIMULATE=<your LABMCP_SIMULATE>" -e "LABMCP_READ_ONLY=<your LABMCP_READ_ONLY>" -e "LABMCP_LIMITS=<your LABMCP_LIMITS>" -- uvx labmcp-atlas-ezo

Replace each placeholder with your own value before saving.

Python package (PyPI)

[mcp_servers.labmcp-atlas-ezo]
command = "uvx"
args = ["labmcp-atlas-ezo"]

[mcp_servers.labmcp-atlas-ezo.env]
LABMCP_ADDRESS = "<your LABMCP_ADDRESS>"
LABMCP_SIMULATE = "<your LABMCP_SIMULATE>"
LABMCP_READ_ONLY = "<your LABMCP_READ_ONLY>"
LABMCP_LIMITS = "<your LABMCP_LIMITS>"

Add to ~/.codex/config.toml. Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "labmcp-atlas-ezo": {
      "command": "uvx",
      "args": [
        "labmcp-atlas-ezo"
      ],
      "env": {
        "LABMCP_ADDRESS": "<your LABMCP_ADDRESS>",
        "LABMCP_SIMULATE": "<your LABMCP_SIMULATE>",
        "LABMCP_READ_ONLY": "<your LABMCP_READ_ONLY>",
        "LABMCP_LIMITS": "<your LABMCP_LIMITS>"
      }
    }
  }
}

Add to claude_desktop_config.json (Settings → Developer → Edit Config). Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "labmcp-atlas-ezo": {
      "command": "uvx",
      "args": [
        "labmcp-atlas-ezo"
      ],
      "env": {
        "LABMCP_ADDRESS": "<your LABMCP_ADDRESS>",
        "LABMCP_SIMULATE": "<your LABMCP_SIMULATE>",
        "LABMCP_READ_ONLY": "<your LABMCP_READ_ONLY>",
        "LABMCP_LIMITS": "<your LABMCP_LIMITS>"
      }
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project). Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "servers": {
    "labmcp-atlas-ezo": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "labmcp-atlas-ezo"
      ],
      "env": {
        "LABMCP_ADDRESS": "<your LABMCP_ADDRESS>",
        "LABMCP_SIMULATE": "<your LABMCP_SIMULATE>",
        "LABMCP_READ_ONLY": "<your LABMCP_READ_ONLY>",
        "LABMCP_LIMITS": "<your LABMCP_LIMITS>"
      }
    }
  }
}

Save as .vscode/mcp.json in your workspace. Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "labmcp-atlas-ezo": {
      "command": "uvx",
      "args": [
        "labmcp-atlas-ezo"
      ],
      "env": {
        "LABMCP_ADDRESS": "<your LABMCP_ADDRESS>",
        "LABMCP_SIMULATE": "<your LABMCP_SIMULATE>",
        "LABMCP_READ_ONLY": "<your LABMCP_READ_ONLY>",
        "LABMCP_LIMITS": "<your LABMCP_LIMITS>"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json. Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "labmcp-atlas-ezo": {
      "command": "uvx",
      "args": [
        "labmcp-atlas-ezo"
      ],
      "env": {
        "LABMCP_ADDRESS": "<your LABMCP_ADDRESS>",
        "LABMCP_SIMULATE": "<your LABMCP_SIMULATE>",
        "LABMCP_READ_ONLY": "<your LABMCP_READ_ONLY>",
        "LABMCP_LIMITS": "<your LABMCP_LIMITS>"
      }
    }
  }
}

Replace each placeholder with your own value before saving.

BADGE

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Markdown

[![MCP Toplist](https://mcptoplist.com/badge/io.github.K-Dense-AI%2Flabmcp-atlas-ezo.svg)](https://mcptoplist.com/server/io.github.K-Dense-AI%2Flabmcp-atlas-ezo)

HTML

<a href="https://mcptoplist.com/server/io.github.K-Dense-AI%2Flabmcp-atlas-ezo"><img src="https://mcptoplist.com/badge/io.github.K-Dense-AI%2Flabmcp-atlas-ezo.svg" alt="MCP Toplist: Top 50% of 137,492" /></a>

Variants: append ?metric=score or ?metric=stars to the image URL.

REGISTRIES

Listed on 1 registry

Official MCP

ORGANIZATION

k-dense-ai

Organization

k-dense-ai

Servers in org

Versions across org

110

Other servers by k-dense-ai

claude-skills-mcp#2,218 · 6 vers

View all k-dense-ai servers →

VERSIONS

Available versions (3)

Version	Published
0.1.2	Sep 26, 2026
0.1.1	Sep 26, 2026
0.1.0	Sep 25, 2026

FAQ

Frequently asked questions

Who maintains Atlas Scientific EZO Sensors?: Atlas Scientific EZO Sensors is maintained by k-dense-ai, which publishes 34 MCP servers (110 total versions) tracked on MCP Toplist.
Is Atlas Scientific EZO Sensors listed on the Official MCP Registry?: Yes — Atlas Scientific EZO Sensors is listed on the Official MCP Registry.
How many versions does Atlas Scientific EZO Sensors have?: MCP Toplist tracks 3 versions of Atlas Scientific EZO Sensors, most recently published on Sep 26, 2026.
Where can I find the source code for Atlas Scientific EZO Sensors?: The source code for Atlas Scientific EZO Sensors is hosted at github.com/K-Dense-AI/lab-instrument-mcps.

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