# mcp-collection

> mcp-collection — lumalisan-mcp-collection. Use this tool when you need to integrate Large Language Models (LLMs) with external tools and APIs, such as weather services or Pokémon databases. It provides a Custom Model Context Protocol (MCP) server implementation, allowing for seamless communication between LLMs and external services. Ideal for use cases requiring data exchange between language models and external APIs, with example implementations in Typescript.

Canonical page: https://skillsregistry.net/skills/lumalisan-mcp-collection  
JSON: https://api.skillsregistry.net/v1/skills/lumalisan-mcp-collection

## Description

Custom Model Context Protocol (MCP) server implementations bridging LLMs to tools & APIs (Weather, Pokémon, etc.). Practical examples w/ Typescript.

## Trust

- **Trust score (0–1):** 0.88
- **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/lumalisan/mcp-collection)

## 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": "lumalisan-mcp-collection"
    }
  }
}
```

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