# Boilerplate MCP Server

> Use this tool when you need to develop a custom Model Context Protocol (MCP) server, connecting AI assistants with external APIs and data sources. It solves problems of building scalable and maintainable MCP servers from scratch, providing a layered architecture pattern and working example implementation. The tool takes in custom TypeScript code and outputs a production-ready MCP server, ideal for use cases requiring integration of AI models with external data sources.

Canonical page: https://skillsregistry.net/skills/aashari-boilerplate-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/aashari-boilerplate-mcp-server

## Description

A production-ready foundation for developing custom Model Context Protocol (MCP) servers in TypeScript. Provides a complete layered architecture pattern, working example implementation, and comprehensive developer infrastructure to connect AI assistants with external APIs and data sources.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ijvbz9de0u)
- **Repository:** <https://github.com/aashari/boilerplate-mcp-server>

## 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": "aashari-boilerplate-mcp-server"
    }
  }
}
```

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