# teleport-mcp

> teleport-mcp — teleportxr-teleport-mcp. Use this tool when you need to remotely control and interact with virtual environments in TeleportXR. It solves problems of automated testing, simulation, and data collection by allowing LLM agents to drive a headless client and perform actions such as moving avatars and inspecting geometry. The tool takes input from LLM agents and outputs interactions with Teleport servers, enabling seamless integration with virtual worlds.

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

## Description

An MCP server that lets an LLM agent drive a TeleportXR headless client: connect to Teleport servers, move an avatar, send input, and inspect geometry.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v1ekmb6suo)
- **Repository:** <https://github.com/teleportxr/teleport-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": "teleportxr-teleport-mcp"
    }
  }
}
```

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