# pokemon-gen3-calc-mcp

> Use this tool when you need to accurately calculate Pokémon status and damage in third-generation games, taking into account complex factors like weather, abilities, and items. It solves problems related to optimal effort value (EV) distributions and damage simulations, providing precise calculations through brute-force methods. The tool accepts inputs such as Pokémon stats, moves, and environmental conditions, and outputs detailed damage calculations and optimal EV distributions.

Canonical page: https://skillsregistry.net/skills/ptrst102-pokemon-gen3-calc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ptrst102-pokemon-gen3-calc-mcp

## Description

An MCP server that enables accurate status and damage calculations for third-generation Pokémon games, including support for complex factors like weather, abilities, and items. It also provides tools for calculating optimal effort value (EV) distributions through brute-force damage matrix simulations.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a2fahvigps)
- **Repository:** <https://github.com/ptrst102/pokemon-gen3-calc-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": "ptrst102-pokemon-gen3-calc-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ptrst102-pokemon-gen3-calc-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ptrst102-pokemon-gen3-calc-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