# FastMCP Python Boilerplate

> FastMCP Python Boilerplate — srmcguirt-fastmcp-python-boilerplate. Use this tool when you need to build a production-ready MCP server with structured logging, rate limiting, and config validation, solving problems of compatibility and scalability with agents like Claude. It provides a Python boilerplate with a standardized interface for easy integration and customization. Ideal for use cases requiring reliable and efficient MCP server development, it takes in configuration inputs and outputs a validated, rate-limited server instance.

Canonical page: https://skillsregistry.net/skills/srmcguirt-fastmcp-python-boilerplate  
JSON: https://api.skillsregistry.net/v1/skills/srmcguirt-fastmcp-python-boilerplate

## Description

Provides a production-ready FastMCP Python server boilerplate with structured logging, rate limiting, and config validation for building MCP servers compatible with Claude and other agents.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k3djlibqor)
- **Repository:** <https://github.com/srmcguirt/fastmcp-python-boilerplate>

## 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": "srmcguirt-fastmcp-python-boilerplate"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/srmcguirt-fastmcp-python-boilerplate` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/srmcguirt-fastmcp-python-boilerplate/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
