Poké MCP Server for Pydantic AIGive Pydantic AI instant access to 49 tools to Get Berry, Get Berry Firmness, Get Berry Flavor, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Poké 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 for Pydantic AI
The Poké MCP Server for Pydantic AI is a standout in the Data Management category — giving your AI agent 49 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Poké "
"(49 tools)."
),
)
result = await agent.run(
"What tools are available in Poké?"
)
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 Poké MCP Server
Connect to the PokéAPI through this MCP server to explore the vast world of Pokémon data. This integration allows any AI agent to retrieve detailed information about items, mechanics, and world interactions.
Pydantic AI validates every Poké tool response against typed schemas, catching data inconsistencies at build time. Connect 49 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
- Berry Research — List all berries, check their firmness levels, and explore flavor profiles like spicy, dry, or sweet.
- Contest Mastery — Query contest types and effects to understand how different moves and items perform in competition.
- Encounter Methods — Discover the various ways Pokémon can be encountered in the wild, from walking in tall grass to fishing.
- Data Exploration — Access paginated lists of resources to browse the entire database systematically.
The Poké MCP Server exposes 49 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 49 Poké tools available for Pydantic AI
When Pydantic AI connects to Poké through Vinkius, your AI agent gets direct access to every tool listed below — spanning api-integration, gaming-data, encyclopedia, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get berry on Poké
Get berry details
Get berry firmness on Poké
Get berry firmness details
Get berry flavor on Poké
Get berry flavor details
Get contest effect on Poké
Get contest effect details
Get contest type on Poké
Get contest type details
Get encounter condition on Poké
Get encounter condition details
Get encounter condition value on Poké
Get encounter condition value details
Get encounter method on Poké
Get encounter method details
Get evolution chain on Poké
Get evolution chain details
Get evolution trigger on Poké
Get evolution trigger details
Get generation on Poké
Get generation details
Get item on Poké
Get item details
Get item attribute on Poké
Get item attribute details
Get item category on Poké
Get item category details
Get item fling effect on Poké
Get item fling effect details
Get item pocket on Poké
Get item pocket details
Get location on Poké
Get location details
Get location area on Poké
Get location area details
Get pal park area on Poké
Get pal park area details
Get pokedex on Poké
Get pokedex details
Get region on Poké
Get region details
Get super contest effect on Poké
Get super contest effect details
Get version on Poké
Get version details
Get version group on Poké
Get version group details
List berries on Poké
List berries
List berry firmnesses on Poké
List berry firmnesses
List berry flavors on Poké
List berry flavors
List contest effects on Poké
List contest effects
List contest types on Poké
List contest types
List encounter condition values on Poké
List encounter condition values
List encounter conditions on Poké
List encounter conditions
List encounter methods on Poké
List encounter methods
List evolution chains on Poké
List evolution chains
List evolution triggers on Poké
List evolution triggers
List generations on Poké
List generations
List item attributes on Poké
List item attributes
List item categories on Poké
List item categories
List item fling effects on Poké
List item fling effects
List item pockets on Poké
List item pockets
List items on Poké
List items
List location areas on Poké
List location areas
List locations on Poké
List locations
List pal park areas on Poké
List pal park areas
List pokedexes on Poké
List pokedexes
List regions on Poké
List regions
List super contest effects on Poké
List super contest effects
List version groups on Poké
List version groups
List versions on Poké
List versions
Query graphql on Poké
Execute a GraphQL query against PokéAPI
Connect Poké to Pydantic AI via MCP
Follow these steps to wire Poké into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Poké MCP Server
Pydantic AI provides unique advantages when paired with Poké 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 Poké integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Poké connection logic from agent behavior for testable, maintainable code
Poké + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Poké MCP Server delivers measurable value.
Type-safe data pipelines: query Poké with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Poké tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Poké and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Poké responses and write comprehensive agent tests
Example Prompts for Poké in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Poké immediately.
"List the first 10 berries available in the database."
"What are the effects of the contest type 'cool'?"
"Show me the different encounter methods available."
Troubleshooting Poké MCP Server with Pydantic AI
Common issues when connecting Poké to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiPoké + Pydantic AI FAQ
Common questions about integrating Poké 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?
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