# Dreamlit

> Use this tool when you need to automate and manage notification workflows from AI clients, solving problems of manual workflow management and enabling seamless communication between AI systems and users. It takes in AI client inputs and outputs customized notification workflows, allowing for efficient testing and publishing. Ideal for use cases requiring automated notification management, such as AI-driven alerts and updates.

Canonical page: https://skillsregistry.net/skills/ai-dreamlit-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-dreamlit-mcp

## Description

Create, test, publish, and manage Dreamlit notification workflows from AI clients.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-07

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.dreamlit%2Fmcp)
- **Repository:** <https://github.com/dreamlit-ai/dreamlit-mcp>

## Use it

MCP endpoint published by the skill: `https://mcp.dreamlit.ai/mcp`

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": "ai-dreamlit-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-dreamlit-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-dreamlit-mcp/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