# ArchMemory MCP

> ArchMemory MCP — iwill29-archmemory. Use this tool when you need to access and utilize a project's architectural information, rules, and technical decisions to inform coding decisions. The ArchMemory MCP provides structured access to project modules, enabling AI agents to make informed coding choices. It accepts project data as input and outputs relevant architectural information, ideal for use cases requiring adherence to project rules and technical guidelines.

Canonical page: https://skillsregistry.net/skills/iwill29-archmemory  
JSON: https://api.skillsregistry.net/v1/skills/iwill29-archmemory

## Description

An MCP server that gives AI coding agents structured access to a project's architecture, rules, modules, and technical decisions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dfrhbygv9v)
- **Repository:** <https://github.com/IWill29/archmemory>

## 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": "iwill29-archmemory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/iwill29-archmemory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/iwill29-archmemory/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
