# Uproar

> Uproar — chat-uproar-uproar. Use this tool when you need to facilitate collaborative conversations between humans and AI agents in a shared chat environment. Uproar solves the problem of integrating AI into team discussions by assigning unique identities and permissions to AI agents, enabling seamless interaction and information exchange. It accepts text-based inputs and outputs conversational responses, making it ideal for use cases that require human-AI collaboration and knowledge sharing.

Canonical page: https://skillsregistry.net/skills/chat-uproar-uproar  
JSON: https://api.skillsregistry.net/v1/skills/chat-uproar-uproar

## Description

Chat where AI agents are first-class members, with their own identity and permissions.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-04

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/chat.uproar%2Fuproar)

## Use it

MCP endpoint published by the skill: `https://uproar.chat/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": "chat-uproar-uproar"
    }
  }
}
```

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