Compatible with every major AI agent and IDE
What is the 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.
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.
How it works
- Subscribe to this server
- Initialize the connection (no complex keys required for public data)
- Start querying Pokémon lore and mechanics from Claude, Cursor, or any MCP client
Who is this for?
- Game Developers — quickly reference Pokémon mechanics and item data while coding or designing.
- Content Creators — verify facts about berries and contests for guides or wikis without leaving the chat interface.
- Data Enthusiasts — explore the structured relationships of the Pokémon world through natural language.
Built-in capabilities (49)
Get berry details
Get berry firmness details
Get berry flavor details
Get contest effect details
Get contest type details
Get encounter condition details
Get encounter condition value details
Get encounter method details
Get evolution chain details
Get evolution trigger details
Get generation details
Get item details
Get item attribute details
Get item category details
Get item fling effect details
Get item pocket details
Get location details
Get location area details
Get pal park area details
Get pokedex details
Get region details
Get super contest effect details
Get version details
Get version group details
List berries
List berry firmnesses
List berry flavors
List contest effects
List contest types
List encounter condition values
List encounter conditions
List encounter methods
List evolution chains
List evolution triggers
List generations
List item attributes
List item categories
List item fling effects
List item pockets
List items
List location areas
List locations
List pal park areas
List pokedexes
List regions
List super contest effects
List version groups
List versions
Execute a GraphQL query against PokéAPI
Why Google ADK?
Google ADK natively supports Poké as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 49 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
- —
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
- —
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Poké
- —
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Poké tools with BigQuery, Vertex AI, and Cloud Functions
Poké in Google ADK
Poké and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Poké to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Poké in Google ADK
The Poké 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. All 49 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Poké for Google ADK
Every tool call from Google ADK to the Poké MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I find the specific details of a berry by its name?
Use the get_berry tool and provide the name (e.g., 'cheri'). The agent will return its growth time, max harvest, size, and smoothness.
Can I list all the different ways a Pokémon can be encountered?
Yes, use the list_encounter_methods tool. It provides a paginated list of all methods like 'walk', 'old-rod', or 'surf' used in the games.
Is it possible to check the effects of Pokémon Contests?
Absolutely. You can use list_contest_effects to see available effects or get_contest_effect with a specific ID to see the detailed appeal and jam metadata.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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