# cccollab

> cccollab — kollaborativeai-cccollab. Use this tool when you need to collaborate with others on coding projects in real-time, enabling multiple users to work together seamlessly via channels and threaded topics. It solves problems of version control and simultaneous editing, and accepts git inputs to facilitate collaborative coding sessions. Outputs include synchronized code updates and threaded discussion topics for efficient communication among team members.

Canonical page: https://skillsregistry.net/skills/kollaborativeai-cccollab  
JSON: https://api.skillsregistry.net/v1/skills/kollaborativeai-cccollab

## Description

MCP server that lets Claude Code sessions collaborate in real time via channels and threaded topics

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/kollaborativeai/cccollab)

## 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": "kollaborativeai-cccollab"
    }
  }
}
```

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