# WebSocket MCP Bridge

> Use this tool when you need to integrate AI assistants with multiple tools and resources through a standardized interface. The WebSocket MCP Bridge solves problems of fragmented tool interactions by providing a unified WebSocket API for sampling, initialization, and resource management. It accepts various inputs, including Node.js, Python, and uv package manager, and outputs a streamlined interface for AI systems to perform diverse tasks across different environments.

Canonical page: https://skillsregistry.net/skills/yonaka-websocket-mcp-bridge  
JSON: https://api.skillsregistry.net/v1/skills/yonaka-websocket-mcp-bridge

## Description

This MCP server runner, developed by yonaka, provides a WebSocket-based interface for AI assistants to interact with various tools and resources. It implements the MCP protocol version 2024-11-05, supporting capabilities like sampling and offering methods for initialization, resource listing, and tool management. The server is containerized using Docker for easy deployment and includes support for Node.js, Python, and uv package manager, enabling a wide range of potential integrations. By abstracting tool interactions through a standardized WebSocket API, this implementation facilitates AI systems in performing diverse tasks across different environments. It is particularly useful for developers and organizations looking to create flexible, scalable AI assistant applications that can leverage multiple tools and resources through a unified interface.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yonaka-websocket-mcp-bridge)
- **Repository:** <https://github.com/yonaka15/mcp-server-runner>

## 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": "yonaka-websocket-mcp-bridge"
    }
  }
}
```

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