# CodeArchitect MCP

> Use this tool when you need to maintain context continuity in AI conversation sessions, preventing redundant explanations of architecture decisions. It automatically saves and retrieves session data, solving problems of context loss and improving overall conversation efficiency. Ideal for use in complex, multi-turn conversations where context is crucial, such as architecture discussions or technical support.

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

## Description

Automatically saves and retrieves AI conversation sessions to maintain context continuity, preventing re-explaining architecture decisions.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nxfy602tmt)
- **Repository:** <https://github.com/tairqaldy/codearchitect-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": "tairqaldy-codearchitect-mcp"
    }
  }
}
```

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