ChartMogul MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Customer Record, Get Api Status, Get Arr History, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ChartMogul 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 App Connector for LlamaIndex
The ChartMogul app connector for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 ChartMogul. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in ChartMogul?"
)
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 ChartMogul MCP Server
Connect your ChartMogul account to any AI agent and take full control of your SaaS revenue intelligence and subscription monitoring workflows through natural conversation.
LlamaIndex agents combine ChartMogul tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Revenue Orchestration — Retrieve real-time metrics for Monthly Recurring Revenue (MRR), Annual Run Rate (ARR), and Average Revenue Per Account (ARPA) programmatically
- Churn & Retention Intelligence — Monitor customer churn rates and LTV (Lifetime Value) metrics across custom time intervals to understand your business health in real-time
- Customer Lifecycle Management — List and manage your subscriber base programmatically, including retrieving detailed historical profiles and MRR contributions
- Infrastructure Monitoring — Access information about your connected data sources (Stripe, Braintree, etc.) and subscription plans to ensure high-fidelity billing oversight
- Trend Analysis — Query historical metrics over specific periods (day, week, month, quarter) to identify growth patterns and seasonal shifts directly through your agent
The ChartMogul MCP Server exposes 12 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.
All 12 ChartMogul tools available for LlamaIndex
When LlamaIndex connects to ChartMogul through Vinkius, your AI agent gets direct access to every tool listed below — spanning mrr-tracking, saas-analytics, churn-analysis, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add new customer
Check connection
Analyze ARR
Analyze retention
Monitor user growth
Get customer profile
Check Customer LTV
Analyze MRR
Get key SaaS metrics
List SaaS customers
) connected to ChartMogul. List connected sources
List billing plans
Connect ChartMogul to LlamaIndex via MCP
Follow these steps to wire ChartMogul into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the ChartMogul MCP Server
LlamaIndex provides unique advantages when paired with ChartMogul through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ChartMogul tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ChartMogul tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ChartMogul, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ChartMogul tools were called, what data was returned, and how it influenced the final answer
ChartMogul + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ChartMogul MCP Server delivers measurable value.
Hybrid search: combine ChartMogul real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ChartMogul 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 ChartMogul for fresh data
Analytical workflows: chain ChartMogul queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for ChartMogul in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ChartMogul immediately.
"Show our MRR and ARR summary for the last 3 months."
"What is our current churn rate compared to last month?"
"Get the MRR contribution for customer 'john.doe@example.com'."
Troubleshooting ChartMogul MCP Server with LlamaIndex
Common issues when connecting ChartMogul to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpChartMogul + LlamaIndex FAQ
Common questions about integrating ChartMogul MCP Server with LlamaIndex.