# dashy-mcp

> dashy-mcp — savagecore-dashy-mcp. Use this tool when you need to integrate a large language model (LLM) with Dashy's dashboard configuration, enabling programmatic reading and editing of sections, items, and top-level config keys through a REST API interface. It solves problems related to automating dashboard management and customization, allowing for seamless interaction between the LLM and Dashy's configuration. This tool is ideal for use cases where dynamic dashboard updates or automated configuration management are required.

Canonical page: https://skillsregistry.net/skills/savagecore-dashy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/savagecore-dashy-mcp

## Description

MCP server exposing Dashy's REST API as tools, enabling an LLM to read and edit dashboard config, including sections, items, and top-level config keys.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c6gtuegyg0)
- **Repository:** <https://github.com/SavageCore/dashy-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": "savagecore-dashy-mcp"
    }
  }
}
```

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