How to Use the Google Play Developer MCP in LlamaIndex
Index your Google Play Developer reviews and product data into LlamaIndex using this MCP Server to query real-time store metrics.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Google Play Developer MCP to LlamaIndex
Create your Vinkius account to connect Google Play Developer 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 index of your Google Play Developer reviews with this MCP Server
Pull your store feedback using `list_reviews` and index the text directly into your vector database. This lets you run semantic searches over months of reviews to find recurring bugs or feature requests that simple keyword searches miss. Your agent can pull context from this index when drafting a response. Before calling `reply_to_review`, it searches past successful answers to make sure the tone and solution match your team's support history.
Query live subscription data alongside your documents
Retrieve active user records using `get_subscription_purchase` to combine your internal documentation with real-time subscription statuses. When a user asks about their account, the agent retrieves their status and checks it against your refund policy documents. If they qualify for an adjustment, the agent can call `defer_subscription` or `cancel_subscription` directly. This grounds the agent's actions in real-time API data, preventing mistakes based on outdated files.
Expose your active store catalog to search queries
Expose your active store catalog using `list_inapp_products` and `get_inapp_product` to build an indexed database of what you sell. Your agent can query this index to answer customer questions about pricing, features, or item IDs. When a transaction goes sideways, the agent uses `get_product_purchase` to check the status against the indexed catalog. This ensures your support bot always has the correct context before suggesting a refund or purchase consumption.
Set up Google Play Developer 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 Google Play Developer 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 Google Play Developer tools.",
)
response = await agent.run("List recent Google Play Developer data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Google Play Developer. 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 Google Play Developer MCP in LlamaIndex
Use it with your favorite AI tools
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