# wishlist-mcp

> wishlist-mcp — teslakoile-wishlist-mcp. Use this tool when you need to manage user wishlists programmatically, allowing AI agents like Claude, ChatGPT, or Codex to read and update wishlist.fit files on behalf of users. It solves problems of automated wishlist management, providing a hosted MCP server with capabilities matching the web app. The tool accepts user wishlist data as input and outputs updated wishlist information, making it ideal for use cases requiring seamless integration with AI-powered assistants.

Canonical page: https://skillsregistry.net/skills/teslakoile-wishlist-mcp  
JSON: https://api.skillsregistry.net/v1/skills/teslakoile-wishlist-mcp

## Description

Hosted MCP server that lets Claude, ChatGPT, or Codex read and update a user's wishlist.fit wishlist on their behalf, with tool parity matching the web app's capabilities.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aktc0cyq7l)
- **Repository:** <https://github.com/teslakoile/wishlist-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": "teslakoile-wishlist-mcp"
    }
  }
}
```

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