# mcp-server

> Use this tool when you need to set up a Model Context Protocol (MCP) server to enable Large Language Models (LLMs) to access and utilize external prompts, tools, and resources. It solves problems related to LLM functionality and resource integration, providing a standardized interface for model-context interactions. The mcp-server tool takes in configuration inputs and outputs a functional MCP server, ideal for use cases requiring advanced LLM capabilities and external resource utilization.

Canonical page: https://skillsregistry.net/skills/mfalcirolli1-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/mfalcirolli1-mcp-server

## Description

Sets up a Model Context Protocol (MCP) server with FastMCP, allowing LLMs to use prompts, tools, and resources.

## 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:** 2026-05-27

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/id0y4ynrp2)
- **Repository:** <https://github.com/mfalcirolli1/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": "mfalcirolli1-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mfalcirolli1-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mfalcirolli1-mcp-server/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