Pokime

Pokime is an MCP server that brings instant, richly detailed data about Pokémon and anime titles straight into the workflow of AI assistants. By exposing a small set of intuitive commands, it lets language models pull up everything from a Pokémon’s base stats and abilities to an anime’s season structure, genres, and ratings—all in real time.

The core problem Pokime solves is the latency and noise that often accompany knowledge‑base queries for entertainment data. Instead of hard‑coding trivia or relying on static datasets, developers can let the model ask for a Pokémon’s height or compare two species side‑by‑side, receiving structured JSON responses that can be rendered in dashboards, chat interfaces, or game tools. For anime fans, the server taps AniList’s GraphQL API to surface season counts, episode totals, and user ratings, making it possible for assistants to recommend series or track viewing progress without leaving the conversation.

Key capabilities are presented as simple, well‑named actions:

• – Returns type(s), abilities, base stats, height, and weight for a single Pokémon.
• – Provides a side‑by‑side comparison of stats and attributes for two Pokémon, useful for battle planning or educational purposes.
• – Pulls comprehensive metadata from AniList, including format (TV, movie, OVA), episode count, genres, scores, and a synopsis that spans all seasons.

These functions are designed to be stateless and idempotent, ensuring consistent results across repeated calls. The server leverages the robust PokéAPI for Pokémon data and AniList’s GraphQL endpoint for anime, both of which are maintained by dedicated communities. Developers can inject environment variables (e.g., API keys) via a simple file, keeping secrets out of source control.

In practice, Pokime enhances a variety of AI‑driven applications. A chat assistant can answer “What’s the best Pokémon to use against Charizard?” by fetching up‑to‑date stats and comparing options. A streaming recommendation bot can suggest anime titles based on genre preferences, pulling in ratings to help users decide. Game developers can embed the server into a character‑creation tool, allowing players to select Pokémon with real data backing their choices. The server’s lightweight Python implementation and clear command interface make it trivial to integrate into existing MCP‑compatible pipelines.

What sets Pokime apart is its dual focus on two beloved entertainment universes, coupled with a clean, developer‑friendly API. By unifying Pokémon and anime data under one MCP umbrella, it eliminates the need for multiple specialized connectors. The result is a single point of contact that enriches AI interactions with authoritative, real‑time information—making conversations more engaging and grounded in the latest data.