$ loading_
Lets AI assistants explore comprehensive Pokémon data through PokeAPI tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "PokeAPI MCP Server" yet — see the docs or source repo.
Use the PokeAPI MCP Server to look up Pikachu's core data, including types, stats, and learnable moves, then summarize it clearly.
A structured summary of Pikachu covering types, stats, and moves.
Use the PokeAPI MCP Server to compare Thunderbolt and Volt Tackle, including power, accuracy, and key differences.
A side-by-side comparison highlighting core stats and mechanic differences.
Use the PokeAPI MCP Server to look up the item Leftovers and include related game mechanic details.
An explanation of the item's effect plus a brief summary of relevant game mechanics.
Developers can connect this MCP tool to an AI assistant so it can query Pokémon, move, item, and mechanic data on demand. It fits Q&A, reference lookup, and helper features.
Researchers or students can use it to quickly explore moves, items, and game mechanics, reducing manual lookup time. It is useful for knowledge organization and basic comparison.
When users ask an AI about a Pokémon or an item, this tool can provide the underlying data. That makes responses more complete and easier to structure.
This is an MCP tool that lets AI assistants fetch and explore Pokémon-related data through PokeAPI. The description says it provides 47 tools covering Pokémon, moves, items, and game mechanics.
Based on the description, it can query comprehensive data about Pokémon, moves, items, and game mechanics. More detailed field coverage is not specified in the provided material.
The provided material does not include installation steps, runtime requirements, or API key details. For setup specifics, see the source repository.
Access Pokémon data and simulate battles through an MCP tool for LLMs.
Fetch detailed Pokémon data, moves, abilities, types, and paginated search results.
Fetch Pokémon data, list popular picks, and build tournament squads.
Fetch Pokémon data and simulate battles with type and status effects.
Turn your LLM client into a Pokédex with lookup and battle prediction.
Query Pokemon data and calculate Gen 9 battle damage accurately.