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ScrAPI MCP Server

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ScrAPI MCP Server

License: MIT NPM Downloads Docker Pulls scrapi-mcp MCP server

ScrAPI MCP Server lets MCP-compatible clients scrape web pages through ScrAPI.

ScrAPI is useful when a page needs a real browser session, CAPTCHA solving, residential proxy access, cookie banner handling, JavaScript rendering, geolocation-aware fetching, or pre-scrape browser actions such as clicking and scrolling.

Contents

Related MCP server: Scraper MCP

Features

  • Scrape any valid https:// or http:// URL through ScrAPI.

  • Return either raw HTML or readable Markdown.

  • Run browser commands before scraping.

  • Use stdio transport for desktop MCP clients.

  • Use Streamable HTTP transport for remote MCP clients and local testing.

  • Run with npx, Docker, Smithery, or from source.

Available Tools

scrape_url_html

Scrapes a URL and returns the result as HTML.

Use this when you need the page structure, links, tables, embedded metadata, or custom downstream parsing.

Inputs:

Name

Type

Required

Description

url

string

Yes

The absolute URL to scrape. Must be a valid URL.

browserCommands

string

No

JSON array string of browser commands to execute before scraping.

Returns:

  • text/html content from the requested page.

  • isError: true with the ScrAPI error body when the upstream request fails.

scrape_url_markdown

Scrapes a URL and returns the result as Markdown.

Use this when the text content matters more than the HTML structure, for example article extraction, product copy, search result summaries, or LLM-friendly page analysis.

Inputs:

Name

Type

Required

Description

url

string

Yes

The absolute URL to scrape. Must be a valid URL.

browserCommands

string

No

JSON array string of browser commands to execute before scraping.

Returns:

  • text/markdown content from the requested page.

  • isError: true with the ScrAPI error body when the upstream request fails.

Prerequisites

Choose one of the following runtime options:

  • Node.js 18 or newer for npx or local development.

  • Docker for container-based usage.

  • An MCP-compatible client such as Claude Desktop, MCP Inspector, or another client that supports stdio or Streamable HTTP MCP servers.

API Key

Set SCRAPI_API_KEY to use your ScrAPI account:

export SCRAPI_API_KEY="your-scrapi-api-key"

PowerShell:

$env:SCRAPI_API_KEY = "your-scrapi-api-key"

An API key is required. Without one, ScrAPI currently allows limited free usage on certain domain with lower concurrency and queueing priority.

Quick Start

Run with NPX

The default transport is stdio, which is the transport most desktop MCP clients use when they launch a local server process.

npx -y @deventerprisesoftware/scrapi-mcp

With an API key:

SCRAPI_API_KEY="your-scrapi-api-key" npx -y @deventerprisesoftware/scrapi-mcp

PowerShell:

$env:SCRAPI_API_KEY = "your-scrapi-api-key"
npx -y @deventerprisesoftware/scrapi-mcp

Run with Docker

The published Docker image starts in HTTP mode by default and listens on port 5000.

docker run --rm -p 5000:5000 -e SCRAPI_API_KEY="your-scrapi-api-key" deventerprisesoftware/scrapi-mcp

MCP endpoint:

http://localhost:5000/mcp

To run the container as a stdio server for a local MCP client:

docker run -i --rm -e TRANSPORT=stdio -e SCRAPI_API_KEY="your-scrapi-api-key" deventerprisesoftware/scrapi-mcp

MCP Client Setup

Most local coding assistants use one of these two configuration shapes:

  • Stdio: the client starts this package with npx or Docker and communicates over stdin/stdout.

  • Streamable HTTP: you start this server yourself with TRANSPORT=http, then point the client at http://localhost:5000/mcp or your deployed URL.

When a client has a tool timeout setting, use a value close to 300000 milliseconds or 300 seconds. ScrAPI can take several minutes for pages that require CAPTCHA solving, browser rendering, or multiple browser commands.

Claude Desktop with NPX

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "ScrAPI": {
      "command": "npx",
      "args": ["-y", "@deventerprisesoftware/scrapi-mcp"],
      "env": {
        "SCRAPI_API_KEY": "your-scrapi-api-key"
      }
    }
  }
}

Claude Desktop with Docker

{
  "mcpServers": {
    "ScrAPI": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "SCRAPI_API_KEY",
        "deventerprisesoftware/scrapi-mcp"
      ],
      "env": {
        "SCRAPI_API_KEY": "your-scrapi-api-key"
      }
    }
  }
}

After changing the config, restart Claude Desktop. You should see the two ScrAPI tools available in the MCP tools list.

Claude Desktop

Cursor

Cursor supports project configuration at .cursor/mcp.json and global configuration at ~/.cursor/mcp.json. See the Cursor MCP documentation.

Stdio configuration:

{
  "mcpServers": {
    "scrapi": {
      "command": "npx",
      "args": ["-y", "@deventerprisesoftware/scrapi-mcp"],
      "env": {
        "SCRAPI_API_KEY": "${env:SCRAPI_API_KEY}"
      }
    }
  }
}

HTTP configuration:

{
  "mcpServers": {
    "scrapi": {
      "url": "http://localhost:5000/mcp"
    }
  }
}

For HTTP, start the server first:

TRANSPORT=http PORT=5000 SCRAPI_API_KEY="your-scrapi-api-key" npx -y @deventerprisesoftware/scrapi-mcp

Windsurf

Windsurf Cascade stores MCP servers in ~/.codeium/windsurf/mcp_config.json. You can also add servers from Windsurf Settings > Cascade > MCP Servers. See the Windsurf MCP documentation.

Stdio configuration:

{
  "mcpServers": {
    "scrapi": {
      "command": "npx",
      "args": ["-y", "@deventerprisesoftware/scrapi-mcp"],
      "env": {
        "SCRAPI_API_KEY": "${env:SCRAPI_API_KEY}"
      }
    }
  }
}

HTTP configuration:

{
  "mcpServers": {
    "scrapi": {
      "serverUrl": "http://localhost:5000/mcp"
    }
  }
}

Windsurf supports serverUrl or url for remote HTTP MCP servers. If your team uses enterprise MCP controls, the server ID in the admin whitelist must match the key name, for example scrapi.

Kilo Code

Kilo Code stores MCP configuration in the main Kilo config file. Use ~/.config/kilo/kilo.jsonc for global configuration, kilo.jsonc in the project root, or .kilo/kilo.jsonc for project-specific configuration. See the Kilo Code MCP documentation.

Local stdio configuration:

{
  "mcp": {
    "scrapi": {
      "type": "local",
      "command": ["npx", "-y", "@deventerprisesoftware/scrapi-mcp"],
      "environment": {
        "SCRAPI_API_KEY": "your-scrapi-api-key"
      },
      "enabled": true,
      "timeout": 300000
    }
  }
}

Remote HTTP configuration:

{
  "mcp": {
    "scrapi": {
      "type": "remote",
      "url": "http://localhost:5000/mcp",
      "enabled": true,
      "timeout": 300000
    }
  }
}

On Windows, if npx is not found from the Kilo Code UI, use cmd as the command and pass /c, npx, -y, and @deventerprisesoftware/scrapi-mcp as arguments.

Codex

Codex supports MCP servers in the CLI and IDE extension. Both use the same MCP configuration. By default, Codex stores it in ~/.codex/config.toml; trusted projects can also use .codex/config.toml. See the Codex MCP documentation.

Add a stdio server with the Codex CLI:

codex mcp add scrapi --env SCRAPI_API_KEY="your-scrapi-api-key" -- npx -y @deventerprisesoftware/scrapi-mcp
codex mcp list

Equivalent config.toml stdio configuration:

[mcp_servers.scrapi]
command = "npx"
args = ["-y", "@deventerprisesoftware/scrapi-mcp"]
startup_timeout_sec = 20
tool_timeout_sec = 300

[mcp_servers.scrapi.env]
SCRAPI_API_KEY = "your-scrapi-api-key"

HTTP configuration:

[mcp_servers.scrapi]
url = "http://localhost:5000/mcp"
tool_timeout_sec = 300

In the Codex terminal UI, run /mcp to confirm the server is connected.

VS Code

VS Code stores MCP configuration in .vscode/mcp.json for a workspace or in your user profile. The top-level key is servers, not mcpServers. See the VS Code MCP configuration reference.

Stdio configuration:

{
  "inputs": [
    {
      "type": "promptString",
      "id": "scrapi-api-key",
      "description": "ScrAPI API key",
      "password": true
    }
  ],
  "servers": {
    "scrapi": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@deventerprisesoftware/scrapi-mcp"],
      "env": {
        "SCRAPI_API_KEY": "${input:scrapi-api-key}"
      }
    }
  }
}

HTTP configuration:

{
  "servers": {
    "scrapi": {
      "type": "http",
      "url": "http://localhost:5000/mcp"
    }
  }
}

Use the Command Palette commands MCP: Add Server, MCP: List Servers, and MCP: Reset Cached Tools to add, inspect, and refresh MCP servers.

Claude Code

Claude Code supports MCP servers through the claude mcp CLI and the /mcp command inside Claude Code. See the Claude Code MCP documentation.

Add a stdio server:

claude mcp add --transport stdio --env SCRAPI_API_KEY="your-scrapi-api-key" scrapi -- npx -y @deventerprisesoftware/scrapi-mcp
claude mcp list

Add an HTTP server:

claude mcp add --transport http scrapi http://localhost:5000/mcp
claude mcp list

To make the server available across all Claude Code projects, add --scope user before the server name:

claude mcp add --transport stdio --scope user --env SCRAPI_API_KEY="your-scrapi-api-key" scrapi -- npx -y @deventerprisesoftware/scrapi-mcp

Inside Claude Code, run /mcp to confirm the server is connected.

Generic Stdio MCP Client

Use this shape for clients that accept a command, arguments, and environment variables:

{
  "name": "ScrAPI",
  "command": "npx",
  "args": ["-y", "@deventerprisesoftware/scrapi-mcp"],
  "env": {
    "SCRAPI_API_KEY": "your-scrapi-api-key"
  }
}

HTTP Transport

Set TRANSPORT=http to run the server over Streamable HTTP.

TRANSPORT=http PORT=5000 SCRAPI_API_KEY="your-scrapi-api-key" npx -y @deventerprisesoftware/scrapi-mcp

PowerShell:

$env:TRANSPORT = "http"
$env:PORT = "5000"
$env:SCRAPI_API_KEY = "your-scrapi-api-key"
npx -y @deventerprisesoftware/scrapi-mcp

The MCP endpoint is:

http://localhost:5000/mcp

Environment variables:

Name

Default

Description

SCRAPI_API_KEY

Limited default key

ScrAPI API key used when calling the ScrAPI scrape API.

TRANSPORT

stdio

Use stdio or http.

PORT

5000

Port used when TRANSPORT=http.

Test with MCP Inspector

Stdio mode:

npx @modelcontextprotocol/inspector npx -y @deventerprisesoftware/scrapi-mcp

HTTP mode:

TRANSPORT=http PORT=5000 npx -y @deventerprisesoftware/scrapi-mcp

Then open MCP Inspector and connect to:

http://localhost:5000/mcp

MCP Inspector

Cloud-Hosted Server

ScrAPI also provides hosted MCP endpoints:

Streamable HTTP: https://api.scrapi.tech/mcp

Cloud MCP servers are not yet supported by every MCP client. They are most useful for custom clients, MCP Inspector, or platforms that support remote MCP servers.

To authenticate with your ScrAPI API key, pass it as a query parameter or request header:

  • Query parameter: https://api.scrapi.tech/mcp?apiKey=<YOUR_API_KEY>

  • Request header: X-API-KEY: <YOUR_API_KEY>

Usage Examples

The exact interaction depends on your MCP client. In most clients, you can either ask the model to use the ScrAPI tool or call the tool directly from a tool inspector.

Scrape a Page as Markdown

Tool:

scrape_url_markdown

Arguments:

{
  "url": "https://example.com"
}

Example prompt:

Use ScrAPI to scrape https://example.com as Markdown and summarize the page.

Scrape a Page as HTML

Tool:

scrape_url_html

Arguments:

{
  "url": "https://example.com"
}

Example prompt:

Use ScrAPI to scrape https://example.com as HTML and extract every link.

Accept Cookies Before Scraping

The browserCommands value must be a string containing a JSON array.

{
  "url": "https://example.com",
  "browserCommands": "[{\"click\":\"#accept-cookies\"},{\"wait\":1000}]"
}

Search a Site Before Scraping Results

{
  "url": "https://example.com/search",
  "browserCommands": "[{\"input\":{\"input[name='q']\":\"web scraping\"}},{\"click\":\"button[type='submit']\"},{\"waitfor\":\"#results\"}]"
}

Load More Content

{
  "url": "https://example.com/products",
  "browserCommands": "[{\"scroll\":1200},{\"wait\":1000},{\"click\":\"button.load-more\"},{\"waitfor\":\".product-card:nth-child(25)\"}]"
}

Browser Commands

Both tools support optional browser commands that interact with the page before ScrAPI captures the final result.

Commands are provided as a JSON array string. They are executed with human-like behavior such as random mouse movement and variable typing speed.

Command

Format

Description

Click

{"click": "#buttonId"}

Click an element by CSS selector.

Input

{"input": {"input[name='email']": "value"}}

Fill an input field.

Select

{"select": {"select[name='country']": "USA"}}

Select an option by value or visible text.

Scroll

{"scroll": 1000}

Scroll down by pixels. Use a negative value to scroll up.

Wait

{"wait": 5000}

Wait for milliseconds. Maximum: 15000.

WaitFor

{"waitfor": "#elementId"}

Wait for an element to appear in the DOM.

JavaScript

{"javascript": "console.log('test')"}

Execute custom JavaScript.

Readable command array:

[
  { "click": "#accept-cookies" },
  { "wait": 2000 },
  { "input": { "input[name='search']": "web scraping" } },
  { "click": "button[type='submit']" },
  { "waitfor": "#results" },
  { "scroll": 500 }
]

Escaped as an MCP tool argument:

{
  "url": "https://example.com",
  "browserCommands": "[{\"click\":\"#accept-cookies\"},{\"wait\":2000},{\"input\":{\"input[name='search']\":\"web scraping\"}},{\"click\":\"button[type='submit']\"},{\"waitfor\":\"#results\"},{\"scroll\":500}]"
}

Need help finding CSS selectors? Try the Rayrun browser extension to select elements and generate selectors.

For more details, see the Browser Commands documentation.

Troubleshooting

The MCP client cannot find the server

  • Confirm Node.js 18 or newer is installed if using npx.

  • Confirm Docker Desktop is running if using Docker.

  • Restart the MCP client after editing its config file.

  • Check that the configured command works in a terminal.

The tools appear, but scraping fails

  • Confirm SCRAPI_API_KEY is set correctly.

  • Try the same URL without browserCommands.

  • Make sure browserCommands is a JSON array string, not a raw JSON array.

  • Use scrape_url_html if Markdown extraction omits structure you need.

  • Long-running pages, CAPTCHA flows, and heavy JavaScript pages can take several minutes.

Browser commands are ignored

The server only sends browser commands when browserCommands parses as a JSON array. This is valid:

{
  "browserCommands": "[{\"click\":\"#accept-cookies\"}]"
}

This is not valid for this MCP tool schema because it is an object array, not a string:

{
  "browserCommands": [{ "click": "#accept-cookies" }]
}

HTTP endpoint does not respond

  • Confirm the server was started with TRANSPORT=http.

  • Confirm the client connects to /mcp, not /.

  • Confirm the port matches PORT.

Development

Install dependencies:

npm install

Run tests:

npm test

Build:

npm run build

Run from source in stdio mode:

npm run build
node dist/index.js

Run from source in HTTP mode:

TRANSPORT=http PORT=5000 node dist/index.js

Build the Docker image:

docker build -t deventerprisesoftware/scrapi-mcp -f Dockerfile .

Or use the package script:

npm run docker:build

License

This MCP server is licensed under the MIT License. You are free to use, modify, and distribute the software subject to the terms of the MIT License. See LICENSE for details.

Available Tools

2 tools
scrape_url_htmlScrape URL and respond with HTMLA

Use a URL to scrape a website using the ScrAPI service and retrieve the result as HTML. Use this for scraping website content that is difficult to access because of bot detection, captchas or even geolocation restrictions. The result will be in HTML which is preferable if advanced parsing is required.

BROWSER COMMANDS: You can optionally provide browser commands to interact with the page before scraping (e.g., clicking buttons, filling forms, scrolling). Provide commands as a JSON array string. Available commands:

  • Click: {"click": "#buttonId"} - Click an element using CSS selector

  • Input: {"input": {"input[name='email']": "value"}} - Fill an input field

  • Select: {"select": {"select[name='country']": "USA"}} - Select from dropdown

  • Scroll: {"scroll": 1000} - Scroll down (negative values scroll up)

  • Wait: {"wait": 5000} - Wait milliseconds (max 15000)

  • WaitFor: {"waitfor": "#elementId"} - Wait for element to appear

  • JavaScript: {"javascript": "console.log('test')"} - Execute custom JS Example: [{"click": "#accept-cookies"}, {"wait": 2000}, {"input": {"input[name='search']": "query"}}]

ParametersJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL to scrape
browserCommandsNoOptional JSON array of browser commands to execute before scraping. See tool description for available commands and format.

TDQS

A4.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Despite no annotations, the description details the ScrAPI service, browser commands with constraints (e.g., max wait time), and interaction capabilities. Does not mention failure modes or rate limits but covers key behaviors.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with clear separation of overview and command details. Slightly lengthy due to command examples, but each part adds value and is front-loaded with purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Lacks details on output structure (e.g., response format, error handling) and authentication requirements. For a scraping tool without an output schema, more on return values would be beneficial.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and the description adds extensive semantics for browserCommands (list of commands, parameters, examples), which goes well beyond the schema's brief description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool scrapes a URL and retrieves the result as HTML, explicitly distinguishing it from the sibling tool by mentioning 'advanced parsing' for HTML output.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit use cases (scraping content with bot detection, captchas, geolocation) and implies when to prefer HTML over markdown. Lacks explicit 'when not to use' but sufficient context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

scrape_url_markdownScrape URL and respond with MarkdownA

Use a URL to scrape a website using the ScrAPI service and retrieve the result as Markdown. Use this for scraping website content that is difficult to access because of bot detection, captchas or even geolocation restrictions. The result will be in Markdown which is preferable if the text content of the webpage is important and not the structural information of the page.

BROWSER COMMANDS: You can optionally provide browser commands to interact with the page before scraping (e.g., clicking buttons, filling forms, scrolling). Provide commands as a JSON array string. Available commands:

  • Click: {"click": "#buttonId"} - Click an element using CSS selector

  • Input: {"input": {"input[name='email']": "value"}} - Fill an input field

  • Select: {"select": {"select[name='country']": "USA"}} - Select from dropdown

  • Scroll: {"scroll": 1000} - Scroll down (negative values scroll up)

  • Wait: {"wait": 5000} - Wait milliseconds (max 15000)

  • WaitFor: {"waitfor": "#elementId"} - Wait for element to appear

  • JavaScript: {"javascript": "console.log('test')"} - Execute custom JS Example: [{"click": "#accept-cookies"}, {"wait": 2000}, {"input": {"input[name='search']": "query"}}]

ParametersJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL to scrape
browserCommandsNoOptional JSON array of browser commands to execute before scraping. See tool description for available commands and format.

TDQS

A4.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It discloses using ScrAPI service, handling bot detection, and details browser command behavior. However, it does not mention failure modes or rate limits, which are relevant for scraping tools.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is somewhat lengthy due to the browser commands section, but it is clearly structured with a heading and bullet-like list. It could be more concise by trimming redundant phrases.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description states result is Markdown but lacks specifics on structure. It covers main usage and browser interaction well. For a scraping tool, this is mostly sufficient, though more detail on output format would help.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the description adds significant value by explaining the browserCommands parameter format with a list of available commands and an example, which is not fully captured in the schema description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it scrapes a URL using ScrAPI and returns Markdown. It distinguishes from sibling tool 'scrape_url_html' by specifying Markdown output and use cases like bot detection, captchas, and geolocation restrictions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description advises when to use: when text content is important and not structural information. It implies when not to use (if structural info is needed, use HTML version) but does not explicitly state alternatives. The context includes a sibling tool, which helps.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 2 tool updatesv0.4.0
    • Changedscrape_url_html2 fields changed
      • removedInput schema / additionalProperties
        Removed value: -false
      • addedInput schema / properties / browserCommands
        Added value: +{
        +  "description": "Optional JSON array of browser commands to execute before scraping. See tool description for available commands and format.",
        +  "type": "string"
        +}
    • Changedscrape_url_markdown2 fields changed
      • removedInput schema / additionalProperties
        Removed value: -false
      • addedInput schema / properties / browserCommands
        Added value: +{
        +  "description": "Optional JSON array of browser commands to execute before scraping. See tool description for available commands and format.",
        +  "type": "string"
        +}
  2. 2 tool updatesv1.0.0
    • Changedscrape_url_html1 field changed
      • addedInput schema / properties / url / description
        Added value: +"The URL to scrape"
    • Changedscrape_url_markdown1 field changed
      • addedInput schema / properties / url / description
        Added value: +"The URL to scrape"
  3. 2 tool updates
    • First observedscrape_url_html
    • First observedscrape_url_markdown

TDQS

A4.4/5.0
Disambiguation5/5

The two tools are clearly distinguished by their output format (HTML vs Markdown), leaving no ambiguity about which to use based on desired result type.

Naming Consistency5/5

Both tools follow a consistent 'scrape_url_{format}' pattern with identical prefix and clear format suffix, making naming predictable.

Tool Count5/5

With exactly 2 tools covering the two primary output formats (HTML and Markdown), the count is minimal but complete for the server's core purpose.

Completeness4/5

The tools cover the essential use cases of scraping with browser interaction and returning structured output. Minor gaps like raw text or JSON output exist but are not critical.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

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