How do I get an itch.io API key?

Log in to [**itch.io**](https://itch.io), go to **User Settings > API Keys** and click **Create API Key**. Give it a name and copy the key immediately.

What games can I access?

You can access games you own (purchased or claimed as free), games you've developed, and games in your collections.

itch.io MCP Server for CrewAI 4 tools — connect in under 2 minutes

Name: itch.io
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 4 Tools Framework

Connect your CrewAI agents to itch.io through Vinkius, pass the Edge URL in the `mcps` parameter and every itch.io tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="itch.io Specialist",
    goal="Help users interact with itch.io effectively",
    backstory=(
        "You are an expert at leveraging itch.io tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in itch.io "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 4 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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 itch.io MCP Server

Connect your itch.io account to any AI agent and explore your indie game library through natural conversation.

When paired with CrewAI, itch.io becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call itch.io tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Account Info — View your itch.io profile, username and avatar
Your Games — Browse all games you own, created or collected
Collections — View your game collections and browse games within them
Collection Details — Get games from specific collections by ID

The itch.io MCP Server exposes 4 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect itch.io to CrewAI via MCP

Follow these steps to integrate the itch.io MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 4 tools from itch.io

Why Use CrewAI with the itch.io MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with itch.io through the Model Context Protocol.

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 `mcps` parameter 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

itch.io + CrewAI Use Cases

Practical scenarios where CrewAI combined with the itch.io MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries itch.io for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries itch.io, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain itch.io tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries itch.io against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

itch.io MCP Tools for CrewAI (4)

These 4 tools become available when you connect itch.io to CrewAI via MCP:

get_collection_games

io collection by its collection ID. Returns game titles, URLs, cover images, prices and developer info. Get games in a specific itch.io collection

get_me

io user profile including username, display name, profile URL, avatar URL and cover URL. Use this to verify your API key is working. Get your itch.io account info

get_user_collections

io. Returns collection names, IDs, game counts and URLs. Get your itch.io game collections

get_user_games

io account including games you've purchased, collected or developed. Returns game titles, URLs, cover images, prices and developer info. Get games you own or created on itch.io

Example Prompts for itch.io in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with itch.io immediately.

"Show me my itch.io profile info."

"What games do I own on itch.io?"

"Show me my itch.io collections."

Troubleshooting itch.io MCP Server with CrewAI

Common issues when connecting itch.io to CrewAI through the Vinkius, and how to resolve them.

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.

itch.io + CrewAI FAQ

Common questions about integrating itch.io MCP Server with CrewAI.

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.