# io.github.tosin2013/mcp-adr-analysis-server

> Use this tool when you need to analyze Architectural Decision Records (ADRs) and gain insights into software architecture decisions. It solves problems related to decision tracking, documentation, and knowledge management, providing outputs such as analyzed ADRs and decision metrics. The tool accepts ADR inputs and provides actionable outputs through an AI-powered interface.

Canonical page: https://skillsregistry.net/skills/io-github-tosin2013-mcp-adr-analysis-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-tosin2013-mcp-adr-analysis-server

## Description

AI-powered MCP server for analyzing Architectural Decision Records (ADRs).

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 2.4.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.tosin2013%2Fmcp-adr-analysis-server)
- **Repository:** <https://github.com/tosin2013/mcp-adr-analysis-server>

## 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": "io-github-tosin2013-mcp-adr-analysis-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-tosin2013-mcp-adr-analysis-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-tosin2013-mcp-adr-analysis-server/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