# FastMCP Example Server

> Use this tool when you need to demonstrate and test MCP server functionality, exposing tools and resources to AI clients. It solves problems related to educational examples and testing of MCP server capabilities, providing a clear interface for inputs and outputs. Ideal for use in development and testing contexts, this tool streamlines the process of building and deploying MCP servers.

Canonical page: https://skillsregistry.net/skills/sharon-nasimiyu-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sharon-nasimiyu-mcp

## Description

Educational example of an MCP server built with FastMCP, demonstrating how to expose tools, resources, and prompts for AI clients.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ydg09fx6b6)
- **Repository:** <https://github.com/sharon-nasimiyu/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": "sharon-nasimiyu-mcp"
    }
  }
}
```

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