# teamflow-mcp

> teamflow-mcp — azril2205-teamflow-mcp. Use this tool when you need to streamline AI development workflows and enhance team collaboration through a structured DevOps approach. It solves problems related to code auditing, version control, and team management by providing a centralized dashboard for git-based projects. The tool accepts git repositories as input and outputs actionable insights and metrics for optimized team performance.

Canonical page: https://skillsregistry.net/skills/azril2205-teamflow-mcp  
JSON: https://api.skillsregistry.net/v1/skills/azril2205-teamflow-mcp

## Description

Structured AI DevOps 2026: Audit & Code Agent Dashboard for Teams

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/azril2205/teamflow-mcp)

## 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": "azril2205-teamflow-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/azril2205-teamflow-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/azril2205-teamflow-mcp/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