# mcp-series

> mcp-series — sandipan1-mcp-series. Use this tool when you need to access a repository of code examples and projects related to AI engineering, specifically based on a blog series on MCP. It solves problems by providing a centralized location for developers to explore and learn from AI engineering code implementations. The tool takes in git commands as input and outputs accessible code repositories for further development and reference.

Canonical page: https://skillsregistry.net/skills/sandipan1-mcp-series  
JSON: https://api.skillsregistry.net/v1/skills/sandipan1-mcp-series

## Description

Repository for code based on Blog series on AI Engineering with MCP

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/sandipan1/mcp-series)

## 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": "sandipan1-mcp-series"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sandipan1-mcp-series` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sandipan1-mcp-series/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