# Dojo

> Use this tool when you need to integrate AI-assisted development capabilities into your application, providing real-time interactive development environments with customizable tools and prompts. It solves problems related to dynamic loading of tools, logging, and resource management, making it ideal for use cases that require interactive AI development. The Dojo tool accepts static directory inputs and outputs Server-Sent Events (SSE) for real-time communication.

Canonical page: https://skillsregistry.net/skills/larkooo-dojo  
JSON: https://api.skillsregistry.net/v1/skills/larkooo-dojo

## Description

This MCP server implementation integrates with the Dojo framework, providing a set of tools and prompts for AI-assisted development. It leverages the mark3labs/mcp-go library to create a server with customizable tools and prompts, loaded dynamically from static directories. The implementation includes logging capabilities, resource management, and a Server-Sent Events (SSE) interface, making it suitable for real-time, interactive AI development environments.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/larkooo-dojo)
- **Repository:** <https://github.com/larkooo/dojo-mcp-go>

## 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": "larkooo-dojo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/larkooo-dojo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/larkooo-dojo/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