How to Use the itch.io MCP in LlamaIndex
Index your entire itch.io library into LlamaIndex for semantic game search and retrieval.
Works with every AI agent you already use
…and any MCP-compatible client
Connect itch.io MCP to LlamaIndex
Create your Vinkius account to connect itch.io to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Index your games for LlamaIndex
Call `get_user_games` to pull your catalog into your local index. You can then query your library using natural language instead of hunting through menus. This turns your game list into a searchable knowledge base. Your agent finds games based on your descriptions rather than exact titles.
Manage collections inside LlamaIndex
Use `get_user_collections` to map out your library structure. Once indexed, your agent understands the relationship between your collections and the games they hold. This makes it easy to ask questions about your organizing habits. It keeps your LlamaIndex setup grounded in your actual itch.io data.
Query game details via MCP Server
Grab specific game metadata using `get_collection_games` and add it to your context window. This gives your agent the facts it needs to answer complex questions about your library. Your index stays fresh because the tools pull live data on demand. It solves the issue of agents hallucinating about games you don't actually own.
Set up itch.io MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all itch.io MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to itch.io tools.",
)
response = await agent.run("List recent itch.io data") 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.
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Common questions about itch.io MCP in LlamaIndex
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