# Fretboard Voicing Explorer MCP Server

> Use this tool when you need to explore and analyze guitar chord voicings interactively, solving problems of chord progression and fingering optimization. It provides a host-agnostic UI widget for inline fretboard rendering, accepting chord inputs and outputting visualizations and evaluations of voicings. Ideal for musicians and composers seeking to enhance their chord playing and composition skills.

Canonical page: https://skillsregistry.net/skills/jherr-ts-ai-mcp-apps-demo  
JSON: https://api.skillsregistry.net/v1/skills/jherr-ts-ai-mcp-apps-demo

## Description

Enables interactive exploration of guitar chord voicings through an MCP server that provides tools for showing, evaluating, and analyzing chord voicings, with a host-agnostic UI widget for inline fretboard rendering.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oygk6iuof3)
- **Repository:** <https://github.com/jherr/ts-ai-mcp-apps-demo>

## 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": "jherr-ts-ai-mcp-apps-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jherr-ts-ai-mcp-apps-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jherr-ts-ai-mcp-apps-demo/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