# watchcharts-mcp

> watchcharts-mcp — niccolosalvini-watchcharts-mcp. Use this tool when you need to access luxury watch market data, including prices, trends, and sales information. It provides valuable insights through various tools, solving problems related to market research, pricing, and appraisal for luxury watches. The watchcharts-mcp server accepts queries and returns relevant market data, making it a useful resource for those seeking to stay informed about the luxury watch market.

Canonical page: https://skillsregistry.net/skills/niccolosalvini-watchcharts-mcp  
JSON: https://api.skillsregistry.net/v1/skills/niccolosalvini-watchcharts-mcp

## Description

MCP server for WatchCharts.com that provides luxury watch market data including prices, trends, sales, listings, and appraisals through various tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/d5fqim1j2w)
- **Repository:** <https://github.com/NiccoloSalvini/watchcharts-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": "niccolosalvini-watchcharts-mcp"
    }
  }
}
```

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

---
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