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sawa-zen/vrchat-mcp

The vrchat-mcp server bridges the gap between LLMs and the VRChat API, allowing developers to programmatically query user data, world metadata, and avatar information directly through a Model Context Protocol interface. Instead of manually polling API endpoints or writing custom wrappers for every integration, this tool lets an AI agent act as a real-time data layer for your VRChat ecosystem. It is particularly useful for building automated community dashboards, personalized world discovery tools, or social analytics bots. By standardizing these API calls into MCP tools, it removes the boilerplate of authentication and request handling, enabling faster prototyping of VRChat-integrated applications compared to traditional REST implementations.

Open ecosystemWeb
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01 / SERVER DETAIL

Server detail

The vrchat-mcp server bridges the gap between LLMs and the VRChat API, allowing developers to programmatically query user data, world metadata, and avatar information directly through a Model Context Protocol interface. Instead of manually polling API endpoints or writing custom wrappers for every integration, this tool lets an AI agent act as a real-time data layer for your VRChat ecosystem. It is particularly useful for building automated community dashboards, personalized world discovery tools, or social analytics bots. By standardizing these API calls into MCP tools, it removes the boilerplate of authentication and request handling, enabling faster prototyping of VRChat-integrated applications compared to traditional REST implementations.

An MCP server that exposes sawa-zen/vrchat-mcp capabilities to MCP-compatible AI clients.

CapabilitiesWebMCPOpen source
ProtocolModel Context Protocol
Developer ecosystemOpen ecosystem
LicenseMIT / check source
SourceGitHub
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02 / TOOL TESTING

Tool testing

AVAILABLE TOOL

sawa-zen-vrchat-mcp

Callable

Call the MCP capabilities provided by sawa-zen/vrchat-mcp and return a structured result.

PARAMETERS
inputPass arguments according to the server tool schema.
Tip: the tool may truncate responses. Use pagination parameters such as start_index to read long content in chunks.
03 / SERVICE CONFIGURATION

Connection modes

Remote
{
  "mcpServers": {
    "sawa-zen/vrchat-mcp": {
      "url": "Generated by the provider after deployment"
    }
  }
}

The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.

03 / WORKFLOW

How to use

  1. 01
    Step 1

    Review server capabilities and permission scope.

  2. 02
    Step 2

    Copy the install command or JSON configuration.

  3. 03
    Step 3

    Run a small connection test in your client.

  4. 04
    Step 4

    Adopt it long term only after reviewing access and maintenance.

04 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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