Poké MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 49 tools to Get Berry, Get Berry Firmness, Get Berry Flavor, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Poké through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The Poké MCP Server for OpenAI Agents SDK 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 agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Poké Assistant",
instructions=(
"You help users interact with Poké. "
"You have access to 49 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Poké"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 49 tools from Poké through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Poké, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK
When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to wire Poké into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Poké MCP Server
OpenAI Agents SDK provides unique advantages when paired with Poké through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Poké + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Poké MCP Server delivers measurable value.
Automated workflows: build agents that query Poké, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Poké, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Poké tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Poké to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Poké in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Poké to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Poké + OpenAI Agents SDK FAQ
Common questions about integrating Poké MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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