# Claude Team MCP

> Use this tool when you need to collaborate multiple AI coding agents on a single project, enabling them to chat, debate, and work in parallel while ensuring security auditing and memory retention. It solves problems of isolated agent work, inconsistent project knowledge, and security vulnerabilities by providing a coordinated team environment. The Claude Team MCP server takes in multiple AI agents and project inputs, producing a unified, secure, and efficient collaborative output.

Canonical page: https://skillsregistry.net/skills/lakshan12367-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lakshan12367-mcp

## Description

A Model Context Protocol (MCP) server that turns multiple AI coding agents into a coordinated team that chats, debates, remembers, audits security, and works in parallel on the same project.

## 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:** security
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s1831ljwg0)
- **Repository:** <https://github.com/Lakshan12367/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": "lakshan12367-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lakshan12367-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lakshan12367-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