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 CrewAI?
When paired with CrewAI, Poké becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Poké tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Poké in CrewAI
Poké and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Poké to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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