# Kawa Code MCP

> Kawa Code MCP — kawacode-ai-kawa-mcp. Use this tool when you need to streamline collaborative coding and reduce errors by tracking team members' intent and decisions in real-time. Kawa Code MCP solves problems of miscommunication and conflicting changes by surfacing potential issues before code is committed. It takes in code changes and team interactions as input and outputs alerts and recommendations to ensure seamless collaboration.

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

## Description

Team-aware memory for AI coding assistants that tracks intent, records decisions, and surfaces real-time team conflicts before commit.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b7pp9cqyy6)
- **Repository:** <https://github.com/kawacode-ai/kawa.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": "kawacode-ai-kawa-mcp"
    }
  }
}
```

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