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Pokémon MCP Server

MCP Server

Fetch Pokémon data with Model Context Protocol tools

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Updated Sep 9, 2025

About

An MCP server that retrieves Pokémon information from PokéAPI, offering tools to get individual Pokémon, types, moves, abilities, and perform searches with pagination.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Pokémon MCP Server

The Pokémon MCP Server is a lightweight, purpose‑built Model Context Protocol (MCP) service that exposes a curated set of tools for retrieving data from the public PokéAPI. By packaging these operations into MCP tools, it allows AI assistants—such as Claude—to query Pokémon information on demand without leaving the chat interface. This removes the need for developers to write custom API wrappers or handle pagination logic themselves, enabling richer conversational experiences that blend knowledge retrieval with natural language reasoning.

The server offers five core tools: get‑pokemon, get‑type, search‑pokemon, get‑move, and get‑ability. Each tool accepts simple, human‑readable parameters (e.g., a Pokémon name or ID) and returns structured JSON that the AI can consume directly. For example, fetches a Pokémon’s stats, species, abilities, and evolution chain, while reveals type effectiveness tables. The pagination support in lets assistants list large collections of Pokémon, which is useful for building menus or exploring subsets in real time.

For developers, this server streamlines integration into existing AI workflows. After adding the MCP endpoint to a Claude Desktop configuration, an assistant can invoke any tool with a single line in its prompt. The server’s straightforward command‑line interface (via ) makes it easy to deploy locally or on a cloud instance, and the built‑in support for MCP Inspector allows quick debugging of tool contracts. Because the data is fetched live from PokéAPI, users always receive up‑to‑date information about new Pokémon releases or balance changes.

Typical use cases include building interactive trivia bots, educational apps that teach biology through Pokémon analogies, or game‑development tools where designers need instant access to move damage calculations and type interactions. The server’s clear separation of concerns—data retrieval versus AI reasoning—lets developers focus on crafting engaging dialogue while the MCP layer handles the heavy lifting of API communication.

Unique advantages stem from its minimal footprint and native MCP compliance. There’s no need to maintain separate SDKs or worry about authentication, as PokéAPI is public. The server also respects rate limits by delegating request handling to the underlying API, encouraging responsible usage patterns. In short, the Pokémon MCP Server turns a vast external data source into an intuitive, on‑demand capability that empowers AI assistants to deliver instant, accurate Pokémon knowledge in a conversational context.