# rgl-mcp

> Use this tool when you need to retrieve specific competitive TF2 data from RGL.gg through natural language queries, solving problems such as finding player statistics, team rankings, or match results. It takes natural language inputs and returns relevant information on players, teams, seasons, divisions, and matches. Ideal for use cases where quick access to RGL.gg data is required, such as data analysis, research, or community engagement.

Canonical page: https://skillsregistry.net/skills/rglgg-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rglgg-mcp

## Description

Enables querying RGL.gg competitive TF2 data through natural language, resolving player, team, season, division, and match information via a series of API calls.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tc5youd7ar)
- **Repository:** <https://github.com/RGLgg/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": "rglgg-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rglgg-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rglgg-mcp/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