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Turn your LLM client into a Pokédex with lookup and battle prediction.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "poke-mcp" yet — see the docs or source repo.
Look up "Pikachuu" and return the correct Pokémon name and basic information.
Returns the most likely matching Pokémon name and its basic information.
I only remember that the name contains "saur". Find the relevant Pokémon.
Returns Pokémon candidates matching the partial name for further confirmation.
Predict whether Pikachu or Squirtle is more likely to win in a battle, and briefly explain why.
Provides a predicted winner between the two Pokémon with a brief rationale.
Students, researchers, or Pokémon fans can query Pokémon directly in their LLM chat by exact, partial, or misspelled names. This helps them get the relevant information without leaving the current client.
When users want a quick estimate of which of two Pokémon is more likely to win, they can use this tool for battle prediction. It is useful for discussion, learning, or entertainment-oriented comparisons.
It lets an LLM client behave like a Pokédex, looking up Pokémon by name and also handling partial or misspelled names. It can also predict the outcome of a battle between two Pokémon.
Yes. The provided description explicitly says it can handle partial and misspelled Pokémon names.
The provided material does not include installation steps, runtime requirements, or API key details. Please see the source repository for specifics.
Access Pokémon data and simulate battles through an MCP tool for LLMs.
Lets AI assistants explore comprehensive Pokémon data through PokeAPI tools.
Fetch Pokémon data, list popular picks, and build tournament squads.
Fetch detailed Pokémon data, moves, abilities, types, and paginated search results.
Fetch Pokémon data and simulate battles with type and status effects.
Access Pokemon data via MCP for dex entries, lists, and evolution chains.