# mcp-template

> mcp-template — nesiler-mcp-template. Use this tool when you need to build a custom Model Context Protocol server with structured logging and observability. It provides a production-ready Python template with FastMCP and easy tool registration, solving the problem of setting up a scalable MCP server from scratch. The template takes in custom tool registrations and outputs a fully functional MCP server, ideal for use cases requiring a tailored Model Context Protocol implementation.

Canonical page: https://skillsregistry.net/skills/nesiler-mcp-template  
JSON: https://api.skillsregistry.net/v1/skills/nesiler-mcp-template

## Description

Production-ready Python MCP server template with FastMCP, structured logging, observability, and easy tool registration — a starter project for building your own Model Context Protocol servers.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/nesiler/mcp-template)

## 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": "nesiler-mcp-template"
    }
  }
}
```

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