# PokéAPI

> Use this tool when you need to retrieve Pokémon game data, such as species, moves, and items, with features like fuzzy name matching and auto-correction for misspellings. It solves problems related to accessing and querying Pokémon data, providing a comprehensive interface for lookups and retrieval. The PokéAPI takes in queries and returns paginated results for large collections, making it ideal for use cases that require detailed Pokémon information.

Canonical page: https://skillsregistry.net/skills/gh-astro2024-pokeapi  
JSON: https://api.skillsregistry.net/v1/skills/gh-astro2024-pokeapi

## Description

A community MCP server wrapping the PokéAPI to enable queries for Pokémon game data from any MCP-compatible client. Supports lookups for Pokémon species, moves, abilities, items, berries, locations, evolution chains, generations, and natures with fuzzy name matching that auto-corrects misspellings. Provides dual list and get tools for each resource category with paginated results for large collections.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-astro2024-pokeapi)
- **Repository:** <https://github.com/astro2024/pokeapi-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": "gh-astro2024-pokeapi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-astro2024-pokeapi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-astro2024-pokeapi/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