# mcp-server

> Use this tool when you need to create custom tools for Large Language Model (LLM) interaction, such as extracting specific data from websites like Amazon. The mcp-server provides instructions and code to set up a server using FastMCP, allowing for the development of tailored tools with inputs like website links and outputs like extracted product information. It solves problems related to automating data extraction and LLM integration, making it ideal for use cases that require customized data processing and analysis.

Canonical page: https://skillsregistry.net/skills/fabg-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/fabg-mcp-server

## Description

Provides instructions and code to set up an MCP server using FastMCP, enabling tool creation for LLM interaction, with an example project for extracting product information from Amazon links.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uuyxtaiqsk)
- **Repository:** <https://github.com/FabG/mcp-server>

## 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": "fabg-mcp-server"
    }
  }
}
```

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