# server

> server — aidemd-mcp-server. Use this tool when you need to teach AI agents the AIDE spec methodology for progressive disclosure specs alongside code. It solves the problem of integrating AI models with code specifications, providing a standardized framework for development. The server takes in AI agents and code as inputs, outputting trained models that adhere to the AIDE spec methodology, ideal for use cases requiring transparent and explainable AI development.

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

## Description

MCP server that teaches any AI agent the AIDE spec methodology — progressive   disclosure specs alongside code

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

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