Poké MCP Server for LangChainGive LangChain instant access to 49 tools to Get Berry, Get Berry Firmness, Get Berry Flavor, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Poké through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Poké MCP Server for LangChain 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
Geminiimport asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"poke": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Poké, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Poké through native MCP adapters. Connect 49 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 LangChain via MCP
Follow these steps to wire Poké into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Poké MCP Server
LangChain provides unique advantages when paired with Poké through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Poké MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Poké queries for multi-turn workflows
Poké + LangChain Use Cases
Practical scenarios where LangChain combined with the Poké MCP Server delivers measurable value.
RAG with live data: combine Poké tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Poké, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Poké tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Poké tool call, measure latency, and optimize your agent's performance
Example Prompts for Poké in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Poké to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersPoké + LangChain FAQ
Common questions about integrating Poké MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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