# ddr-mcp-server

> Use this tool when you need to efficiently search and manage Design Decision Records (DDRs) in your git repository, leveraging AI-powered capabilities to streamline decision-making processes and improve collaboration. It solves problems related to knowledge discovery, decision tracking, and version control, providing a robust interface for querying and retrieving relevant DDRs. Ideal for use in software development, engineering, and technical teams seeking to optimize their design decision workflows.

Canonical page: https://skillsregistry.net/skills/cuzfrog-ddr-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/cuzfrog-ddr-mcp-server

## Description

AI powered Design Decision Record search MCP server

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-05-05

## Source

- **Source listing:** [GitHub](https://github.com/cuzfrog/ddr-mcp-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": "cuzfrog-ddr-mcp-server"
    }
  }
}
```

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