How to Use the Appfigures MCP in LlamaIndex

Q: Will LlamaIndex keep my Appfigures rankings updated?

You can configure an agent to poll getranks and update the index. This keeps your search results current with the latest store performance.

Q: Can I filter Appfigures results in LlamaIndex?

Yes, use the allowedtools filter to restrict which endpoints the agent can access. This keeps your index focused on specific metrics.

Index your Appfigures store data into LlamaIndex for grounded, searchable insights.

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Connect Appfigures MCP to LlamaIndex

Create your Vinkius account to connect Appfigures 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.

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Setup Appfigures with LlamaIndex

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Ground LlamaIndex with Appfigures data

Turn your sales history into a queryable knowledge base. Using `get_revenue_report`, LlamaIndex indexes your proceeds data so your agents answer questions based on your actual dashboard metrics. Combine this with `get_subscriptions_report` to track churn trends over time. The server provides the raw data, and your index makes it searchable.

Search app store reviews via LlamaIndex

Use `list_reviews` to pull fresh user feedback into your vector store. Your agent can then perform semantic searches across thousands of comments to find recurring complaints. This approach lets you query specific topics, like login issues or feature requests, across your entire review history.

Map Appfigures products to LlamaIndex

Run `list_my_products` to populate your index with app metadata. This ensures your agent knows exactly which products exist before it attempts to query rankings or sales. Refresh your index periodically by calling `search_products` to keep your local knowledge synced with the current app store environment.

Setup guide

Set up Appfigures MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 Appfigures MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 Appfigures tools.",
)
response = await agent.run("List recent Appfigures data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Appfigures. 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 Appfigures MCP in LlamaIndex

The server outputs are treated as documents. LlamaIndex embeds these values, allowing your agent to retrieve them during the RAG process.

You can configure an agent to poll `get_ranks` and update the index. This keeps your search results current with the latest store performance.

Yes, use the allowed_tools filter to restrict which endpoints the agent can access. This keeps your index focused on specific metrics.

Once the tool outputs are indexed, you simply ask your agent questions about your revenue or churn. It retrieves the relevant data points automatically.

Your financial figures are isolated within the Vinkius infrastructure. Only authorized queries from your agent can access the specific API records.

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