# Example MCP Server with FastMCP

> Use this tool when you need to build and demonstrate MCP servers in Python, exposing tools and resources to AI clients. It solves problems related to creating educational examples for MCP server development, providing a clear interface for inputting prompts and outputting results. Ideal for use cases requiring a Python-based MCP server with FastMCP integration.

Canonical page: https://skillsregistry.net/skills/a-ddollar-cs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/a-ddollar-cs-mcp

## Description

An educational example demonstrating how to build MCP servers in Python using FastMCP, showing how to expose tools, resources, and prompts to AI clients.

## 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:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lkgydf4c75)
- **Repository:** <https://github.com/a-ddollar-cs/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": "a-ddollar-cs-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/a-ddollar-cs-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/a-ddollar-cs-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