# VRChat MCP Server

> Use this tool when you need to integrate AI assistants with VRChat, enabling access to user data and social connections. It solves problems of data retrieval and interaction with the VRChat platform by providing a standardized Model Context Protocol interface. This server accepts API requests and returns relevant VRChat data, such as user information and friends lists, in a structured format.

Canonical page: https://skillsregistry.net/skills/sawa-zen-vrchat-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sawa-zen-vrchat-mcp

## Description

A Model Context Protocol server that allows AI assistants to interact with the VRChat API, enabling retrieval of user information, friends lists, and other VRChat data through a standardized interface.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u763zoyi5a)
- **Repository:** <https://github.com/sawa-zen/vrchat-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": "sawa-zen-vrchat-mcp"
    }
  }
}
```

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