# habitica-mcp

> Use this tool when you need to develop and test Habitica MCP servers, as it provides a basic setup with a hello-world tool, resource, and prompt over stdio for early experimentation. It solves problems related to initial development and testing of Habitica MCP servers by offering a simple interface for input and output. Use it in the context of building and refining Habitica MCP applications, where its exposed tools and resources can be leveraged for further development.

Canonical page: https://skillsregistry.net/skills/tatemz-habitica-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tatemz-habitica-mcp

## Description

Habitica MCP server built with Effect v4, currently exposing a hello-world tool, resource, and prompt over stdio for early development and testing.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dkugo078xw)
- **Repository:** <https://github.com/tatemz/habitica-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": "tatemz-habitica-mcp"
    }
  }
}
```

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