# aha-mcp

> Use this tool when you need to access and manage Aha! records through natural language, solving problems of data retrieval and project management. It provides an interface for inputting natural language queries and outputs relevant Aha! records, including features, requirements, pages, and documents. Ideal for use cases where efficient and intuitive record management is required, streamlining project workflows and enhancing productivity.

Canonical page: https://skillsregistry.net/skills/popand-aha-mcp  
JSON: https://api.skillsregistry.net/v1/skills/popand-aha-mcp

## Description

MCP server for accessing and managing Aha! records, including features, requirements, pages, and documents through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/crk9v16ib5)
- **Repository:** <https://github.com/popand/aha-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": "popand-aha-mcp"
    }
  }
}
```

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

---
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