PokeAPI MCP Server
Give your AI assistant access to the entire Pokémon universe
README
<p align="center"> <img src="logo.png" alt="PokéAPI MCP Server" width="128" /> </p>
<h1 align="center">PokéAPI MCP Server</h1>
<p align="center"> <strong>Give your AI assistant access to the entire Pokémon universe</strong> </p>
<p align="center"> <a href="https://www.npmjs.com/package/pokeapi-mcp-server"><img src="https://img.shields.io/npm/v/pokeapi-mcp-server?color=cb3837&label=npm&logo=npm" alt="npm" /></a> <a href="https://marketplace.visualstudio.com/items?itemName=bhayanak.pokeapi-mcp-extension"><img src="https://img.shields.io/visual-studio-marketplace/v/bhayanak.pokeapi-mcp-extension?color=007ACC&logo=visual-studio-code&label=VS%20Code" alt="VS Code" /></a> <a href="LICENSE"><img src="https://img.shields.io/github/license/bhayanak/pokemon-mcp-server?color=blue" alt="license" /></a> <img src="https://img.shields.io/badge/MCP-compatible-blueviolet" alt="MCP" /> </p>
A Model Context Protocol (MCP) server in TypeScript that wraps PokéAPI v2 — the largest Pokémon RESTful API (1300+ species, 900+ moves, 300+ abilities, 18 types). Ships as both an npm package and a VS Code extension.
Packages
| Package | Description | Docs |
|---|---|---|
pokeapi-mcp-server |
MCP server (npm/CLI) | README → |
pokeapi-mcp-extension |
VS Code extension | README → |
Quick Start
Option 1: VS Code Extension (recommended)
Install from the marketplace — the extension handles everything automatically:
ext install bhayanak.pokeapi-mcp-extension
VS Code provides built-in start / stop / restart controls. Your AI assistant gets access to all 12 tools immediately.
Option 2: npm / CLI
npm install -g pokeapi-mcp-server
pokeapi-mcp-server
Or use with Claude Desktop:
{
"mcpServers": {
"pokeapi": {
"command": "npx",
"args": ["-y", "pokeapi-mcp-server"]
}
}
}
12 MCP Tools
| Category | Tools | What They Do |
|---|---|---|
| Pokémon | pokemon_get, pokemon_search |
Lookup & search by type/generation |
| Types | pokemon_get_type, pokemon_type_matchup |
Type details & effectiveness calculator |
| Moves | pokemon_get_move, pokemon_search_moves |
Move database & filtered search |
| Abilities | pokemon_get_ability |
Ability effects & Pokémon lists |
| Evolution | pokemon_get_evolution_chain |
Full evolution trees with conditions |
| Species | pokemon_get_species |
Flavor text, habitat, egg groups |
| Items | pokemon_get_item |
Item details, effects, categories |
| Analysis | pokemon_compare, pokemon_type_coverage |
Side-by-side stats & team coverage |
License
MIT © bhayanak
Quick Start
# Install dependencies
pnpm install
# Build all packages
pnpm run build
# Run the MCP server (stdio mode)
cd packages/pokeapi-server && pnpm run dev
MCP Tools
| Tool | Description |
|---|---|
pokemon_get |
Get detailed Pokémon data (stats, types, abilities, moves) |
pokemon_search |
Search Pokémon by type, generation, or browse |
pokemon_get_type |
Get type details and damage relations |
pokemon_type_matchup |
Check type effectiveness |
pokemon_get_move |
Get move details (power, accuracy, effect) |
pokemon_search_moves |
Search moves by criteria |
pokemon_get_ability |
Get ability details |
pokemon_get_evolution_chain |
Get evolution chain with conditions |
pokemon_get_species |
Get species data (flavor text, habitat, catch rate) |
pokemon_get_item |
Get item details |
pokemon_compare |
Compare 2-4 Pokémon side-by-side |
pokemon_type_coverage |
Analyze team type coverage |
Configuration
| Variable | Default | Description |
|---|---|---|
POKEAPI_MCP_BASE_URL |
https://pokeapi.co/api/v2 |
API base URL |
POKEAPI_MCP_CACHE_TTL_MS |
86400000 (24hr) |
Cache TTL |
POKEAPI_MCP_CACHE_MAX_SIZE |
500 |
Max cache entries |
POKEAPI_MCP_TIMEOUT_MS |
10000 |
HTTP timeout |
POKEAPI_MCP_LANGUAGE |
en |
Preferred language |
Development
pnpm run typecheck # TypeScript type checking
pnpm run lint # ESLint with security rules
pnpm run test # Run tests
pnpm run build # Build all packages
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。