How to Use the itch.io MCP in LangChain
Build custom game-data chains in LangChain by connecting your itch.io library to your agents.
Works with every AI agent you already use
…and any MCP-compatible client
Connect itch.io MCP to LangChain
Create your Vinkius account to connect itch.io to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Chain your itch.io library data
Pipe your library directly into reasoning chains. When you call `get_user_games`, you get raw data that acts as the next link in your logic flow. Your agent parses this output to decide its next move. It turns static game lists into active decision points for your LangChain sequences.
Automate collection discovery for LangChain
Feed collection IDs into `get_collection_games` to pull specific game metadata. You can chain this with other APIs to cross-reference game details automatically. This MCP Server handles the handshake so your agent keeps moving. You define the sequence, and the tools keep the data flowing without manual input.
Verify your itch.io identity
Use `get_me` to confirm your session is live before running heavy chains. It provides your display name and profile URL to validate the connection. This keeps your LangChain agents running on the right account. If the connection drops, your agent knows exactly where the chain broke.
Set up itch.io MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"transport": "http"pointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create a ReAct agent
Pass the discovered tools to
create_react_agent()from LangGraph. The agent automatically routes itch.io tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"itchio-mcp": {
"transport": "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,
)
result = await agent.ainvoke({
"messages": "List recent itch.io transactions"
})
print(result["messages"][-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by itch.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about itch.io MCP in LangChain
Use it with your favorite AI tools
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