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MobyGames MCP Server for LlamaIndex 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add MobyGames as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to MobyGames. "
            "You have 11 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in MobyGames?"
    )
    print(response)

asyncio.run(main())
MobyGames
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 MobyGames MCP Server

Connect to MobyGames and explore the world's largest video game database through natural conversation.

LlamaIndex agents combine MobyGames tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Game Search — Search 100,000+ games by title, platform, genre and developer
  • Game Details — Get full game info including release dates, descriptions, screenshots and MobyScores
  • Platform List — Browse all gaming platforms (consoles, PCs, mobile, arcade)
  • Developer Search — Find game developers and studios by name
  • Company Search — Search game publishers and companies
  • Genres — Get complete list of game genres
  • Reviews — Access game reviews and critic scores
  • Credits — View full game credits (developers, artists, testers)
  • Game Groups — Browse game series and franchises

The MobyGames MCP Server exposes 11 tools through the Vinkius. Connect it to LlamaIndex 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 MobyGames to LlamaIndex via MCP

Follow these steps to integrate the MobyGames MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 11 tools from MobyGames

Why Use LlamaIndex with the MobyGames MCP Server

LlamaIndex provides unique advantages when paired with MobyGames through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine MobyGames tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain MobyGames tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query MobyGames, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what MobyGames tools were called, what data was returned, and how it influenced the final answer

MobyGames + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the MobyGames MCP Server delivers measurable value.

01

Hybrid search: combine MobyGames real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query MobyGames to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying MobyGames for fresh data

04

Analytical workflows: chain MobyGames queries with LlamaIndex's data connectors to build multi-source analytical reports

MobyGames MCP Tools for LlamaIndex (11)

These 11 tools become available when you connect MobyGames to LlamaIndex via MCP:

01

get_attributes

g. "Educational", "Free-to-play", "Open world", "Multiplayer"). Returns attribute names and IDs. Get game attributes/special attributes

02

get_companies

Returns company names, game counts and profile info. Search for game publishers and companies by name

03

get_developers

Returns developer names, game counts and profile info. Search for game developers by name

04

get_game_by_id

Returns title, release dates, platforms, genres, descriptions, developers, publishers, MobyScore, screenshots, covers and credits. Get detailed info for a specific game by MobyGames ID

05

get_game_credits

) for a specific game by its MobyGames ID. Returns person names, roles and departments. Get credits for a specific game

06

get_game_group

Returns group name, description and list of games in the group. Get details for a specific game group (series/franchise)

07

get_game_groups

Returns group names, game counts and descriptions. Get list of game groups (series/franchises)

08

get_genres

Returns genre names and IDs for filtering game searches. Get list of all game genres

09

get_platforms

Returns platform names and IDs for filtering game searches. Get list of all gaming platforms

10

get_reviews

Optionally filter by game ID. Returns review scores, reviewer names, publications and review excerpts. Get game reviews from the MobyGames database

11

search_games

Supports filtering by title, platform, genre and developer. Returns game titles, release years, platforms, genres, MobyScores and developer/publisher info. Search for video games in the MobyGames database

Example Prompts for MobyGames in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with MobyGames immediately.

01

"Search for The Legend of Zelda games."

02

"Show me games developed by FromSoftware."

03

"What RPGs are available for Nintendo Switch?"

Troubleshooting MobyGames MCP Server with LlamaIndex

Common issues when connecting MobyGames to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

MobyGames + LlamaIndex FAQ

Common questions about integrating MobyGames MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query MobyGames tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect MobyGames to LlamaIndex

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.