# chartbrew-mcp

> chartbrew-mcp — dhavanikgithub-chartbrew-mcp. Use this tool when you need to manage Chartbrew resources efficiently, as it enables AI agents to create, modify, and interact with teams, connections, datasets, dashboards, and charts using natural language inputs, providing outputs in a structured format to facilitate seamless integration and automation. This tool solves problems related to resource management, data visualization, and team collaboration, streamlining workflows and enhancing productivity. It is ideal for use cases where natural language interface is preferred or required, such as voice assistants or text-based AI agents.

Canonical page: https://skillsregistry.net/skills/dhavanikgithub-chartbrew-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dhavanikgithub-chartbrew-mcp

## Description

Enables AI agents to manage Chartbrew resources like teams, connections, datasets, dashboards, and charts via natural language.

## 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/brbvpmen74)
- **Repository:** <https://github.com/dhavanikgithub/chartbrew-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": "dhavanikgithub-chartbrew-mcp"
    }
  }
}
```

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