# Smithery FastMCP Example

> Use this tool when you need to rapidly prototype and test MCP server capabilities with minimal setup, enabling seamless integration of Large Language Models (LLMs) with external tools and resources. It provides a straightforward example for quick implementation and development, with inputs including LLM configurations and outputs being integrated MCP server functionality. Ideal for development and testing contexts where rapid prototyping is essential.

Canonical page: https://skillsregistry.net/skills/smartmanoj-smithery-fastmcp-example  
JSON: https://api.skillsregistry.net/v1/skills/smartmanoj-smithery-fastmcp-example

## Description

Demonstrate how to quickly implement an MCP server with minimal setup. Enable seamless integration of LLMs with external tools and resources through a straightforward example. Facilitate rapid prototyping of MCP capabilities for development and testing.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/SmartManoj/smithery-fastmcp-example)
- **Repository:** <https://github.com/SmartManoj/smithery-fastmcp-example>

## 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": "smartmanoj-smithery-fastmcp-example"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/smartmanoj-smithery-fastmcp-example` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/smartmanoj-smithery-fastmcp-example/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