# Miro MCP Server

> Use this tool when you need to integrate large language models (LLMs) with visual collaboration platforms to manage and organize content on virtual whiteboards. It enables LLMs to interact with Miro boards, creating and manipulating shapes, and grouping content for streamlined workflow management. Ideal for use cases requiring AI-driven content organization and visualization on Miro whiteboards.

Canonical page: https://skillsregistry.net/skills/henqc-miro-mcp  
JSON: https://api.skillsregistry.net/v1/skills/henqc-miro-mcp

## Description

Enables MCP-compatible LLMs to interact with Miro whiteboards to manage boards, create and manipulate shapes, and organize content through grouping tools.

## Trust

- **Trust score (0–1):** 0.96
- **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:** [Glama](https://glama.ai/mcp/servers/h6ljla8ll8)
- **Repository:** <https://github.com/henqc/miro-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": "henqc-miro-mcp"
    }
  }
}
```

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