MCP-MCSTATUS

MCP-MCSTATUS

Provides tools for retrieving Minecraft Java and Bedrock server status via the mcstatus.xyz API. It also includes advanced network diagnostic features such as DNS resolution, GeoIP lookups, and BGP/ASN provider information.

Category
Visit Server

README

MCP-MCSTATUS

MCP server (Python) with tools for https://mcstatus.xyz/api and Kuma status-page API.

Implemented MCP Tools

  • get_minecraft_status - Minecraft server status (Java/Bedrock), endpoint /api/status
  • get_java_status - Java status shortcut, endpoint /api/status
  • get_bedrock_status - Bedrock status shortcut, endpoint /api/status
  • get_srv_records - SRV records, endpoint /api/srv
  • resolve_dns - DNS resolution and provider info, endpoint /api/dns
  • rdns - reverse DNS (PTR) lookup for IP
  • geoip_maxmind - GeoIP lookup using local MaxMind GeoLite2 database
  • get_ip_provider_info - provider/operator info for IP via bgp.tools whois + ASN database
  • is_ip_anycast - check if player IP is Anycast by curated known-node list
  • get_bgp_info - BGP/ASN details for an IP, endpoint /api/bgp
  • check_node_status - find Kuma node by name or short alias (e.g., s3, br4) and return UP/DOWN/PENDING/MAINTENANCE

check_node_status For GPT

Use this tool when you need node state from Kuma by human-friendly alias.

Input parameters:

  • node_name (string, required) - full node name or short alias.
  • timeout_ms (integer, optional, default 4000, must be > 0).

Supported alias patterns:

  • full name: s3.joinserver.xyz
  • short hostname before first dot: s3 for s3.joinserver.xyz
  • token from short name split by -, _, or space: br4
  • case-insensitive variants: BR4
  • normalized alias (non-alphanumeric chars ignored in fallback matching)

Status mapping:

  • 1 -> UP
  • 0 -> DOWN
  • 2 -> PENDING
  • any other/unknown -> MAINTENANCE

Result format (ok = true):

{
  "ok": true,
  "input_node_name": "s3",
  "node_name": "s3.joinserver.xyz",
  "node_id": 124,
  "matched_by": "short_hostname",
  "status": "DOWN",
  "status_code": 0,
  "heartbeat_time": "2026-02-19 11:48:48",
  "message": "",
  "ping": null,
  "has_heartbeat": true,
  "matched_by_case_insensitive_name": true
}

Result format (ok = false):

  • not found:
{"ok": false, "input_node_name": "unknown", "error": "Node with this name/alias was not found on Kuma status page."}
  • ambiguous alias:
{
  "ok": false,
  "input_node_name": "hmfra1",
  "error": "Multiple nodes matched this name/alias at the same confidence level. Use a more specific node name.",
  "matches": [{"id": 305, "name": "HMFRA1-7950"}, {"id": 304, "name": "HMFRA1-R9"}]
}

GPT usage flow:

  1. Try short alias first (s3, br4, fra28).
  2. If ambiguous, retry with a more specific name from matches.
  3. If not found, retry with full node name.

Architecture

  • mcstatus_mcp/client.py - typed API client (MCStatusApiClient)
  • mcstatus_mcp/tools.py - abstract BaseMCStatusTool + one class per MCP tool
  • mcstatus_mcp/server.py - MCP app bootstrap and tool registration

Each tool is implemented as a class that inherits from BaseMCStatusTool. All tools depend on a shared MCStatusApiClient instance.

Install

.\.venv\Scripts\python.exe -m pip install -r requirements.txt

Run With Docker Compose

docker compose up -d --build

Stop:

docker compose down

Default MCP endpoint from compose:

http://localhost:8000/mcp

Run MCP Server

Default transport is stdio:

.\.venv\Scripts\python.exe main.py

Optional transport override:

$env:MCP_TRANSPORT="sse"
.\.venv\Scripts\python.exe main.py

Allowed MCP_TRANSPORT values: stdio, sse, streamable-http.

Local Stdio Config Example

{
  "mcpServers": {
    "mcstatus": {
      "command": "C:\\Users\\rakse\\PycharmProjects\\MCP-MCSTATUS\\.venv\\Scripts\\python.exe",
      "args": ["C:\\Users\\rakse\\PycharmProjects\\MCP-MCSTATUS\\main.py"]
    }
  }
}

Environment Variables

  • MCP_TRANSPORT - MCP transport (default: stdio)
  • MCSTATUS_API_BASE_URL - API base URL (default: https://mcstatus.xyz/api)
  • KUMA_API_BASE_URL - Kuma API base URL for check_node_status (default: http://status.dsts.cloud:3001/api)
  • MCSTATUS_TIMEOUT_MS - default timeout in milliseconds for tools (default: 4000)
  • MCP_HOST - host for HTTP transports (sse and streamable-http, default: 127.0.0.1)
  • MCP_PORT - port for HTTP transports (default: 8000)
  • MCP_STREAMABLE_HTTP_PATH - streamable HTTP path (default: /mcp)
  • MCP_SSE_PATH - SSE path (default: /sse)
  • MAXMIND_LICENSE_KEY - MaxMind license key for GeoLite2 download (required for auto-download if DB is missing/outdated)
  • MAXMIND_DB_PATH - local path to .mmdb file (default: data/GeoLite2-City.mmdb)
  • MAXMIND_EDITION_ID - MaxMind edition ID (default: GeoLite2-City)
  • MAXMIND_REFRESH_HOURS - database refresh interval in hours; 0 disables periodic refresh (default: 24)
  • BGPTOOLS_USER_AGENT - descriptive user-agent with contact for downloading https://bgp.tools/asns.csv (recommended)
  • BGPTOOLS_ASN_DB_URL - ASN CSV source URL (default: https://bgp.tools/asns.csv)
  • BGPTOOLS_ASN_DB_PATH - local path to ASN CSV cache (default: data/bgp_tools_asns.csv)
  • BGPTOOLS_ASN_REFRESH_HOURS - ASN CSV refresh interval in hours; 0 disables periodic refresh (default: 24)
  • BGPTOOLS_WHOIS_HOST - bgp.tools whois host (default: bgp.tools)
  • BGPTOOLS_WHOIS_PORT - bgp.tools whois port (default: 43)

Use With OpenAI

Important: OpenAI MCP integration uses remote MCP servers. Local stdio servers are good for local dev/testing, but for OpenAI binding you should expose a public HTTPS endpoint.

1) Run as streamable HTTP for deployment

$env:MCP_TRANSPORT="streamable-http"
$env:MCP_HOST="0.0.0.0"
$env:MCP_PORT="8000"
.\.venv\Scripts\python.exe main.py

After deployment your MCP URL will look like:

https://your-domain.example/mcp

2) Bind MCP server in OpenAI Responses API

from openai import OpenAI

client = OpenAI()

response = client.responses.create(
    model="gpt-4.1",
    tools=[
        {
            "type": "mcp",
            "server_label": "mcstatus",
            "server_url": "https://your-domain.example/mcp",
            "require_approval": "never",
            "allowed_tools": [
                "get_minecraft_status",
                "get_java_status",
                "get_bedrock_status",
                "get_srv_records",
                "resolve_dns",
                "rdns",
                "geoip_maxmind",
                "get_ip_provider_info",
                "is_ip_anycast",
                "get_bgp_info",
                "check_node_status",
            ],
        }
    ],
    input="Check DNS and Java status for mc.hypixel.net",
)

print(response.output_text)

3) Bind in ChatGPT (Connectors)

  • Open ChatGPT connector settings.
  • Add a custom connector using your remote MCP URL.
  • Select tools and permissions.

Reference docs:

  • https://platform.openai.com/docs/guides/tools-remote-mcp
  • https://platform.openai.com/docs/guides/mcp
  • https://help.openai.com/en/articles/11487775-connectors-in-chatgpt/

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured