# DashWebMCP

> Use this tool when you need to integrate AI agents with Dash dashboards, enabling seamless interaction and automation. It solves problems of compatibility and communication between AI systems and Dash applications, providing a WebSocket bridge for effortless integration. With automatic tool registration and human-in-the-loop confirmation, it offers a streamlined interface for AI agents to interact with Dash dashboards.

Canonical page: https://skillsregistry.net/skills/cemberk-dashwebmcp  
JSON: https://api.skillsregistry.net/v1/skills/cemberk-dashwebmcp

## Description

Enables AI agents to interact with Dash dashboards by exposing them as MCP servers via a WebSocket bridge, with automatic tool registration and human-in-the-loop confirmation.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qh28kp9zsz)
- **Repository:** <https://github.com/Cemberk/dashwebmcp>

## 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": "cemberk-dashwebmcp"
    }
  }
}
```

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