PokéAPI MCP Server for Pydantic AI 20 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect PokéAPI through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to PokéAPI "
"(20 tools)."
),
)
result = await agent.run(
"What tools are available in PokéAPI?"
)
print(result.data)
asyncio.run(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.
Pydantic AI validates every PokéAPI tool response against typed schemas, catching data inconsistencies at build time. Connect 20 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the PokéAPI MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 20 tools from PokéAPI with type-safe schemas
Why Use Pydantic AI with the PokéAPI MCP Server
Pydantic AI provides unique advantages when paired with PokéAPI through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your PokéAPI integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your PokéAPI connection logic from agent behavior for testable, maintainable code
PokéAPI + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the PokéAPI MCP Server delivers measurable value.
Type-safe data pipelines: query PokéAPI with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple PokéAPI tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query PokéAPI and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock PokéAPI responses and write comprehensive agent tests
PokéAPI MCP Tools for Pydantic AI (20)
These 20 tools become available when you connect PokéAPI to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting PokéAPI to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiPokéAPI + Pydantic AI FAQ
Common questions about integrating PokéAPI MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 20 tools in under 2 minutes. No API key management needed.