# VesktopClaudeBridge

> VesktopClaudeBridge — dataterminals-vesktopclaudebridge. Use this tool when you need to integrate Discord functionality with Claude Code, allowing for seamless interaction with Discord messages, attachments, and history. It solves problems related to manual data transfer and screenshot reliance by providing a direct WebSocket connection between Equicord/Vencord clients and Claude Code. This tool is ideal for automating tasks, enhancing productivity, and streamlining workflows that involve Discord data processing.

Canonical page: https://skillsregistry.net/skills/dataterminals-vesktopclaudebridge  
JSON: https://api.skillsregistry.net/v1/skills/dataterminals-vesktopclaudebridge

## Description

MCP server that lets Claude Code read Discord messages, attachments, and history directly from the Equicord/Vencord client over a local WebSocket, without screenshots or copy-paste. Exposes tools for current view, marked messages, history, attachments, and link resolution.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uw8dzn0xig)
- **Repository:** <https://github.com/dataterminals/VesktopClaudeBridge>

## 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": "dataterminals-vesktopclaudebridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dataterminals-vesktopclaudebridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dataterminals-vesktopclaudebridge/pull`

---
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