Ad4Game MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Ad4Game as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Ad4Game. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in Ad4Game?"
)
print(response)
asyncio.run(main())
* 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 Ad4Game MCP Server
Connect your Ad4Game publisher account to your AI agent to streamline your gaming advertising workflow. From synchronizing the latest high-payout offers to retrieving creative assets for your offer walls, your agent manages your ad inventory through natural conversation.
LlamaIndex agents combine Ad4Game tool responses with indexed documents for comprehensive, grounded answers. Connect 3 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
- Offer Synchronization — List all available advertising offers linked to your specific zones and affiliate ID
- Creative Retrieval — Fetch banners, videos, and other creative assets associated with specific gaming offers
- Detailed Offer Audit — Retrieve technical metadata for individual offers, including payout rates and targeting rules
- Inventory Management — Monitor your active zones and ensure your local offer database is always up-to-date
- Campaign Insights — Quickly identify the best-performing gaming offers to optimize your publisher revenue
The Ad4Game MCP Server exposes 3 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 Ad4Game to LlamaIndex via MCP
Follow these steps to integrate the Ad4Game MCP Server with LlamaIndex.
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 3 tools from Ad4Game
Why Use LlamaIndex with the Ad4Game MCP Server
LlamaIndex provides unique advantages when paired with Ad4Game through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Ad4Game tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Ad4Game tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Ad4Game, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Ad4Game tools were called, what data was returned, and how it influenced the final answer
Ad4Game + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Ad4Game MCP Server delivers measurable value.
Hybrid search: combine Ad4Game real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Ad4Game 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 Ad4Game for fresh data
Analytical workflows: chain Ad4Game queries with LlamaIndex's data connectors to build multi-source analytical reports
Ad4Game MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect Ad4Game to LlamaIndex via MCP:
get_creatives
Fetch creatives for an offer
get_offer_details
Get details for a specific offer
list_offers
List all available ad offers
Example Prompts for Ad4Game in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Ad4Game immediately.
"Find all high-payout gaming offers for my zone."
Troubleshooting Ad4Game MCP Server with LlamaIndex
Common issues when connecting Ad4Game to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAd4Game + LlamaIndex FAQ
Common questions about integrating Ad4Game MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Ad4Game with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Ad4Game to LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.