# Poki_MCP

> Use this tool when you need to access Pokémon data or simulate battles, providing Large Language Models (LLMs) with interactive and immersive experiences. It solves problems related to Pokémon information retrieval and battle strategy development, offering a user-friendly web interface for input and output. Ideal for use cases requiring Pokémon data integration, battle simulation, or interactive LLM training.

Canonical page: https://skillsregistry.net/skills/amitabhsingh64-poki-mcp  
JSON: https://api.skillsregistry.net/v1/skills/amitabhsingh64-poki-mcp

## Description

A Model Context Protocol server that provides LLMs with Pokémon data access and battle simulation capabilities, including an interactive web interface.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oq1vrw91p4)
- **Repository:** <https://github.com/amitabhsingh64/Poki_MCP>

## 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": "amitabhsingh64-poki-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amitabhsingh64-poki-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amitabhsingh64-poki-mcp/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