# CS2 RCON

> Use this tool when you need to manage Counter-Strike 2 servers remotely through RCON commands, execute administrative tasks, or integrate game server management with AI tools. It provides a Model Context Protocol interface for real-time communication, allowing AI assistants to query server status and manage player interactions. Ideal for server administrators seeking to automate common tasks or integrate with AI-powered tools.

Canonical page: https://skillsregistry.net/skills/v9rt3x-cs2-rcon  
JSON: https://api.skillsregistry.net/v1/skills/v9rt3x-cs2-rcon

## Description

CS2-RCON-MCP is a server implementation that provides a Model Context Protocol interface for managing Counter-Strike 2 servers through RCON commands. Built with Python and leveraging the Starlette framework with SSE for real-time communication, it enables AI assistants to execute administrative commands, query server status, and manage player interactions on CS2 game servers. The implementation uses a structured command system that abstracts the underlying RCON protocol complexities, making it particularly useful for server administrators who want to integrate game server management with AI tools or automate common administrative tasks.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/v9rt3x-cs2-rcon)
- **Repository:** <https://github.com/v9rt3x/cs2-rcon-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "v9rt3x-cs2-rcon"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/v9rt3x-cs2-rcon` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/v9rt3x-cs2-rcon/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt