# qoder-browser-bridge

> qoder-browser-bridge — ttungx-qoder-browser-bridge. Use this tool when you need to automate browser interactions or integrate MCP clients with a real browser, preserving login state and enabling features like navigation, clicking, and screenshots. It solves problems related to browser automation, testing, and integration, providing a seamless interface between MCP clients and the QoderWork browser connector extension. This bridge accepts inputs from MCP clients and outputs controlled browser actions, ideal for use cases requiring automated browser control.

Canonical page: https://skillsregistry.net/skills/ttungx-qoder-browser-bridge  
JSON: https://api.skillsregistry.net/v1/skills/ttungx-qoder-browser-bridge

## Description

A standalone MCP server that lets Claude Code, opencode, and other MCP clients control your real browser via the QoderWork browser connector extension, preserving login state and providing tools for navigation, clicking, typing, screenshots, and more.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ke2skltbys)
- **Repository:** <https://github.com/Ttungx/qoder-browser-bridge>

## 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": "ttungx-qoder-browser-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ttungx-qoder-browser-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ttungx-qoder-browser-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