# dci-mcp

> dci-mcp — ciscoheat-dci-mcp. Use this tool when you need to generate server code that follows DCI architecture principles, solving problems related to complex system design and development. It takes in input from git repositories and outputs MCP server code, streamlining the development process. Ideal for use cases requiring adherence to DCI architecture, such as large-scale system development or legacy code refactoring.

Canonical page: https://skillsregistry.net/skills/ciscoheat-dci-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ciscoheat-dci-mcp

## Description

MCP Server generating code that adheres to DCI architecture principles.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ciscoheat/dci-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": "ciscoheat-dci-mcp"
    }
  }
}
```

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