How to Use the MobyGames MCP in LlamaIndex
Index MobyGames metadata into LlamaIndex vector stores to query game history without hallucinations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect MobyGames MCP to LlamaIndex
Create your Vinkius account to connect MobyGames 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.
Build a searchable MobyGames index with LlamaIndex
LlamaIndex goes beyond simple API calls by turning MobyGames metadata into searchable documents. Your LlamaIndex agent calls `get_game_by_id` and `get_reviews`, then indexes that raw text directly into your vector store. The MCP integration grounds your LlamaIndex application in real MobyGames data. Instead of guessing release dates or review scores, the agent queries your local index first, only calling `search_games` when it needs to fetch fresh titles.
Query developer histories using this MCP Server
Combine MobyGames developer profiles with game credits to build a unified LlamaIndex knowledge graph. The system calls `get_developers` and `get_game_credits` to pull raw biographical and professional data, which LlamaIndex then indexes as node relationships. This means you can ask LlamaIndex complex questions about which programmers worked on specific platforms. Your query engine resolves the relationships locally, using `get_platforms` to verify console IDs before retrieving new MobyGames records.
Filter indexed MobyGames attributes dynamically
Keep your LlamaIndex vector index clean by resolving categories before you ingest MobyGames data. Your LlamaIndex pipeline calls `get_attributes` and `get_genres` to categorize games like open-world or free-to-play before they hit your vector store. By structuring your MobyGames metadata first, your LlamaIndex semantic searches become incredibly precise. You can filter your vector queries by specific genre IDs, ensuring your RAG application only returns highly relevant game profiles.
Set up MobyGames 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 MobyGames 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 MobyGames tools.",
)
response = await agent.run("List recent MobyGames data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MobyGames. 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 MobyGames MCP in LlamaIndex
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