Mod.io MCP Server for LlamaIndexGive LlamaIndex instant access to 22 tools to Add Collection, Add Mod, Delete Mod, and more

Name: Mod.io
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

Ask AI about this MCP Server for LlamaIndex

Open in ChatGPT Open in Claude Open in Perplexity

The Mod.io MCP Server for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 22 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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 Mod.io. "
            "You have 22 tools available."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Mod.io MCP Server

Connect your mod.io account to any AI agent to manage your gaming library and modding workflows through natural conversation.

LlamaIndex agents combine Mod.io tool responses with indexed documents for comprehensive, grounded answers. Connect 22 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 Discovery — Browse all games on the platform using get_games and fetch detailed stats and metadata for specific titles with get_game_stats.
Mod Management — Search for mods using get_mods, view detailed descriptions with get_mod, and manage your own mod profiles including adding, editing, or deleting entries.
User Subscriptions — Subscribe or unsubscribe from mods using subscribe_mod and unsubscribe_mod, rate content with rate_mod, and track your personal collections.
Account Insights — Access your profile with get_me, check your wallet information via get_wallets, and view purchased content directly through the API.

The Mod.io MCP Server exposes 22 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 22 Mod.io tools available for LlamaIndex

When LlamaIndex connects to Mod.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning modding, user-generated-content, game-api, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add collection on Mod.io

Requires OAuth 2 Access Token. Create a new mod collection

add

Add mod on Mod.io

Requires OAuth 2 Access Token. Add a new mod to a game

delete

Delete mod on Mod.io

Requires OAuth 2 Access Token. Delete a mod

edit

Edit mod on Mod.io

Requires OAuth 2 Access Token. Edit details of an existing mod

get

Get collection mods on Mod.io

Get mods within a collection

get

Get collections on Mod.io

Get all mod collections for a game

get

Get game on Mod.io

Get details for a specific game

get

Get game stats on Mod.io

Get statistics for a game

get

Get games on Mod.io

io platform. Get all games on mod.io

get

Get me on Mod.io

Requires OAuth 2 Access Token. Get authenticated user details

get

Get mod on Mod.io

Get details for a specific mod

get

Get mod file on Mod.io

Get a specific modfile

get

Get mod files on Mod.io

Get all files for a mod

get

Get mods on Mod.io

Get all mods for a game

get

Get my purchases on Mod.io

Requires OAuth 2 Access Token. Get mods purchased by the user

get

Get my ratings on Mod.io

Requires OAuth 2 Access Token. Get ratings submitted by the user

get

Get my subscriptions on Mod.io

Requires OAuth 2 Access Token. Get mods the user is subscribed to

get

Get my wallets on Mod.io

Requires OAuth 2 Access Token. Get user wallets for monetization

get

Get terms on Mod.io

Get text and links for user consent dialogs

rate

Rate mod on Mod.io

Requires OAuth 2 Access Token. Rate a mod

Subscribe mod on Mod.io

Requires OAuth 2 Access Token. Subscribe to a mod

unsubscribe

Unsubscribe mod on Mod.io

Requires OAuth 2 Access Token. Unsubscribe from a mod

Connect Mod.io to LlamaIndex via MCP

Follow these steps to wire Mod.io into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 22 tools from Mod.io

Why Use LlamaIndex with the Mod.io MCP Server

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

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

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

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

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

Mod.io + LlamaIndex Use Cases

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

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

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

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

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

Example Prompts for Mod.io in LlamaIndex

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

"List all games available on mod.io."

"Show me the mods for game ID 123."

"Rate mod 789 for game 123 as positive."

Troubleshooting Mod.io MCP Server with LlamaIndex

Common issues when connecting Mod.io to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Mod.io + LlamaIndex FAQ

Common questions about integrating Mod.io MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

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