# dotdog

> Use this tool when you need to query and traverse complex spec genomes, and require structured access to entities, relationships, and graph data. It solves problems related to data navigation and retrieval, providing a robust interface for AI agents to interact with MCP tools. With dotdog, agents can input specific queries and receive output in a structured format, facilitating informed decision-making in contexts where genome data analysis is crucial.

Canonical page: https://skillsregistry.net/skills/specdog-dotdog  
JSON: https://api.skillsregistry.net/v1/skills/specdog-dotdog

## Description

Enables AI agents to query and traverse spec genomes via MCP tools, providing structured access to entities, relationships, and graph data.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kmseybnyuw)
- **Repository:** <https://github.com/specdog/dotdog>

## 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": "specdog-dotdog"
    }
  }
}
```

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