sawa-zen/vrchat-mcp

Overview

Model Context Protocol (MCP) server that connects AI agents to the VRChat API. It exposes VRChat endpoints as tools callable by any MCP client. Built in TypeScript for type safety and easy integration.

Best for

Best for
Developers building AI agents that integrate with VRChat's social features and user data

Use cases

• Accessing VRChat user profiles and friends lists from AI agents
• Building MCP-compatible automation for VRChat world discovery
• Querying VRChat API data as part of larger agent workflows

How to use

Install

npx vrchat-mcp

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "vrchat-mcp": {\n      "command": "npx",\n      "args": ["vrchat-mcp"],\n      "env": {\n        "VRCHAT_USERNAME": "your-username",\n        "VRCHAT_AUTH_TOKEN": "your-auth-token"\n      }\n    }\n  }\n}

Notes

Model Context Protocol (MCP) server that connects AI agents to the VRChat API. It exposes VRChat endpoints as tools callable by any MCP client. Built in TypeScript for type safety and easy integration.

58 stars on GitHub. Last updated 2026-02-03. Licensed MIT.

Use cases

• Accessing VRChat user profiles and friends lists from AI agents
• Building MCP-compatible automation for VRChat world discovery
• Querying VRChat API data as part of larger agent workflows

Pros

• Uses standard MCP protocol for broad AI agent compatibility
• TypeScript codebase with clear types and maintainability
• Open source with an existing community (58 stars)

Cons

• Limited to public VRChat API endpoints; no control over game state
• Requires valid VRChat authentication credentials
• Relatively new project, smaller community for support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.