How to Use the FreeToGame MCP in LlamaIndex

Index FreeToGame titles into your LlamaIndex knowledge base for semantic search and grounded answers.

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Connect FreeToGame MCP to LlamaIndex

Create your Vinkius account to connect FreeToGame 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.

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Setup FreeToGame with LlamaIndex

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Indexing FreeToGame results via LlamaIndex

Pipe the output of `list_games` directly into your vector store. Your index now understands the relationship between different game titles and their categories. This makes your RAG application smarter. You search across your indexed game library instead of relying on simple keyword matches.

Semantic game filtering for LlamaIndex

Apply `filter_games` to isolate specific genres before indexing. You control exactly which segments of the API data populate your knowledge base. It results in a cleaner index with higher relevance. Your queries return results based on actual game data structured exactly how you need it.

Retrieving detailed specs in LlamaIndex

Use `get_game` to fetch technical details for any game retrieved from your index. You combine semantic search results with live API details to provide complete answers. It bridges the gap between stored knowledge and real-time facts. Your agents provide grounded, verified information to the user every time.

Setup guide

Set up FreeToGame MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 FreeToGame MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 FreeToGame tools.",
)
response = await agent.run("List recent FreeToGame data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FreeToGame. 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 FreeToGame MCP in LlamaIndex

Use the MCP tool spec to wrap the server and convert its functions into a tool list. Once converted, pass these tools into your agent to enable data access.

Yes, you can trigger a refresh of your index by calling the list tools periodically. This keeps your game data current without manual intervention.

You should use the filter tool to narrow your query parameters first. This ensures only relevant game data enters your vector store, saving on indexing costs.

Monitor the tool outputs through your agent logs. Every call returns a clear JSON object that you can inspect to verify the data being indexed.

The server accesses only public gaming information, such as titles and requirements. No sensitive personal data is processed or stored during your indexing process.

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