PokéAPI MCP Server for Vercel AI SDK 20 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect PokéAPI through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using PokéAPI, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About PokéAPI MCP Server
Connect PokéAPI, the definitive Pokémon database, to any AI agent and explore comprehensive data on all 1000+ Pokémon species, moves, abilities, types, items, and evolution chains through natural language.
The Vercel AI SDK gives every PokéAPI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 20 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Pokémon Lookup — Get detailed stats, types, abilities, height, weight, and sprite images for any Pokémon
- Species Data — Access capture rates, egg groups, growth rates, habitats, and flavor text from every game version
- Type Effectiveness — Check damage relations for all 18 types to plan battle strategies
- Move Database — Search moves by power, accuracy, PP, and effects with full metadata
- Evolution Chains — View complete family trees with all evolution conditions and triggers
- Item Catalog — Browse held items, Poké Balls, and berries with effects and costs
- Regional Data — Explore generations, regions, and Pokédex variants
The PokéAPI MCP Server exposes 20 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect PokéAPI to Vercel AI SDK via MCP
Follow these steps to integrate the PokéAPI MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 20 tools from PokéAPI and passes them to the LLM
Why Use Vercel AI SDK with the PokéAPI MCP Server
Vercel AI SDK provides unique advantages when paired with PokéAPI through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same PokéAPI integration everywhere
Built-in streaming UI primitives let you display PokéAPI tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
PokéAPI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the PokéAPI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query PokéAPI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate PokéAPI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed PokéAPI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with PokéAPI through natural language queries
PokéAPI MCP Tools for Vercel AI SDK (20)
These 20 tools become available when you connect PokéAPI to Vercel AI SDK via MCP:
get_ability
Get detailed ability information
get_berry
Get detailed berry information
get_evolution_chain
). Get evolution chain details
get_generation
Get generation details
get_item
Get detailed item information
get_move
Get detailed move information
get_pokedex
Get detailed Pokédex information
get_pokemon
), types, abilities, height, weight, and sprite images. Accepts either the Pokémon ID or name. Get detailed Pokémon information
get_pokemon_species
Get Pokémon species information
get_region
Get region details
get_type
Get type effectiveness and Pokémon
list_abilities
Each ability grants a passive effect to the Pokémon that has it. List all Pokémon abilities
list_berries
Berries are held items with various effects when consumed. List all berries
list_generations
List all Pokémon generations
list_items
List all held items
list_moves
List all Pokémon moves
list_pokedexes
) with their associated regions and Pokémon entries. List all Pokédexes
list_pokemon
Use limit and offset to browse through the full catalog of 1000+ Pokémon. List all Pokémon names with pagination
list_regions
) with their associated locations, Pokédexes, and version groups. List all Pokémon regions
list_types
). There are 18 types in total. List all Pokémon types
Example Prompts for PokéAPI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with PokéAPI immediately.
"Show me everything about Pikachu."
"What types are strong against Fire?"
"What's the evolution chain for Eevee?"
Troubleshooting PokéAPI MCP Server with Vercel AI SDK
Common issues when connecting PokéAPI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPokéAPI + Vercel AI SDK FAQ
Common questions about integrating PokéAPI MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect PokéAPI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect PokéAPI to Vercel AI SDK
Get your token, paste the configuration, and start using 20 tools in under 2 minutes. No API key management needed.