How to Use the ChartMogul MCP in LlamaIndex

Q: How does LlamaIndex ingest ChartMogul data?

You install llama-index-tools-mcp and set up a BasicMCPClient. Calling totoollistasync() converts the server endpoints into native LlamaIndex tools for your FunctionAgent.

Q: Can I filter which ChartMogul tools LlamaIndex accesses?

Yes, you control the exact surface area. Use the allowedtools parameter to restrict your agent to safe read-only operations like getapistatus or getarrhistory.

Index live ChartMogul subscription metrics directly into your LlamaIndex RAG applications.

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Connect ChartMogul MCP to LlamaIndex

Create your Vinkius account to connect ChartMogul 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 ChartMogul with LlamaIndex

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Query live metrics with LlamaIndex

Financial data feeds directly into your knowledge base through the `get_summary_metrics` tool. LlamaIndex pulls these core SaaS figures and indexes them alongside your static company documents. Grounding your AI in actual revenue numbers stops hallucinations cold. When a user asks about last quarter's performance, the query engine retrieves facts from `get_mrr_history` rather than guessing based on outdated training data.

Embed subscriber profiles

Building a searchable customer database requires the `list_customers` and `get_customer_details` tools. Your LlamaIndex pipeline ingests these profiles, converting complex billing histories into semantic vectors. Support teams can ask natural language questions about account health. The system searches the indexed `get_customer_ltv` data to instantly surface high-value clients who might be at risk of leaving.

Map revenue sources via MCP Server

Connecting your billing infrastructure to LlamaIndex relies on the `list_data_sources` tool. The agent reads exactly which payment gateways feed into your analytics setup. Understanding pricing dynamics happens through `list_subscription_plans` and `get_churn_rates`. The resulting vectors let your RAG app answer complex questions about which specific billing tiers suffer from the highest cancellation rates.

Setup guide

Set up ChartMogul 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 ChartMogul 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 ChartMogul tools.",
)
response = await agent.run("List recent ChartMogul 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 ChartMogul. 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 ChartMogul MCP in LlamaIndex

You install `llama-index-tools-mcp` and set up a `BasicMCPClient`. Calling `to_tool_list_async()` converts the server endpoints into native LlamaIndex tools for your FunctionAgent.

Yes, you control the exact surface area. Use the `allowed_tools` parameter to restrict your agent to safe read-only operations like `get_api_status` or `get_arr_history`.

The framework indexes the tool outputs into your chosen vector store. This means subsequent semantic searches hit the embedded knowledge base rather than querying the live API every single time.

Pass the MCP tools alongside your document query engines into a single agent. The router will pull MRR figures from the API and combine them with your PDF sales reports.

Vinkius processes the connection through a zero-trust sandbox environment. Your raw subscriber profiles and churn rates flow securely to your LlamaIndex vector store without leaving persistent traces on our servers.

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