# MCP FastAPI Server

> Use this tool when you need to perform mathematical calculations, retrieve time zone information, or echo messages through a robust API server. The MCP FastAPI Server provides both WebSocket and HTTP endpoints for flexible interaction, making it suitable for applications requiring real-time data exchange or simple HTTP requests. It is ideal for use cases where reliable, production-ready API functionality and interactive documentation are essential.

Canonical page: https://skillsregistry.net/skills/finianoneill-mcp-fastapi-server-example  
JSON: https://api.skillsregistry.net/v1/skills/finianoneill-mcp-fastapi-server-example

## Description

A production-ready Model Context Protocol server that provides mathematical calculations, time zone information, and message echoing capabilities through both WebSocket and HTTP endpoints. Built with FastAPI for robust API functionality and interactive documentation.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jjnwqmesa7)
- **Repository:** <https://github.com/finianoneill/mcp_fastapi_server_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": "finianoneill-mcp-fastapi-server-example"
    }
  }
}
```

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