Chargify MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Chargify 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 MCP SERVER
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 Chargify. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Chargify?"
)
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 Chargify MCP Server
Connect your Chargify (Maxio) site to any AI agent and take absolute control of your SaaS revenue operations by simply chatting. Bypass massive spreadsheets, complex API docs, and tedious financial dashboards.
LlamaIndex agents combine Chargify tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Customers — Query your B2B accounts, retrieve specific financial details, or formulate brand new CRM customer records instantly
- Subscriptions — Inspect active and canceled states, trace billing cycles, past-due flags, or irreversibly cancel subscriptions documenting specific churn reasons
- Planes & Upgrades — Browse your active product catalog and seamlessly upgrade or modify a customer's plan mid-cycle with a single command
- Holds & Resumes — Place an absolute freeze/hold on a subscription forbidding next billing, and resume it seamlessly when ready
The Chargify MCP Server exposes 10 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 Chargify to LlamaIndex via MCP
Follow these steps to integrate the Chargify 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 10 tools from Chargify
Why Use LlamaIndex with the Chargify MCP Server
LlamaIndex provides unique advantages when paired with Chargify through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Chargify tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Chargify tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Chargify, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Chargify tools were called, what data was returned, and how it influenced the final answer
Chargify + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Chargify MCP Server delivers measurable value.
Hybrid search: combine Chargify real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Chargify 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 Chargify for fresh data
Analytical workflows: chain Chargify queries with LlamaIndex's data connectors to build multi-source analytical reports
Chargify MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Chargify to LlamaIndex via MCP:
cancel_subscription
Irreversibly vaporize explicit validations extracting rich Churn flags
create_customer
json` tracking exact Name and Email strings tied to the B2B engine. Provision a highly-available JSON Payload generating hard Customer bindings
get_customer_details
json` checking exactly what references exist per SaaS consumer. Perform structural extraction of properties driving active Account logic
get_subscription_details
json` tracking exact billing cycle, MRR, and past-due flags. Inspect deep internal arrays mitigating specific Plan Math
hold_subscription
json` clamping the subscription entirely forbidding next billing until cleared. Identify precise active arrays spanning native Pause tracking
list_catalog_products
json` grabbing precisely the valid handles needed to trigger a plan switch. Retrieve the exact structural matching verifying Product mapping
list_customers
json` mapping exact user email arrays inside a Chargify site. Identify bounded CRM records inside the Headless Chargify/Maxio Platform
list_subscriptions
json` dropping exact state strings resolving whether active or canceled. Retrieve explicit Cloud logging tracing explicit Recurring limits
resume_subscription
json` ripping a Hold state unlocking MRR engine immediately. Dispatch an automated validation check routing explicit Resume logic
update_subscription_product
Identify precise active arrays spanning native Plan tracking/Upgrades
Example Prompts for Chargify in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Chargify immediately.
"We promised Acme Corp a grace period. Put a hold on subscription 4040 immediately."
"List our product catalog. I need to know the IDs to upgrade an account."
"Customer sub_899 just requested cancellation via email. Reason: 'budget cuts'. Please process it."
Troubleshooting Chargify MCP Server with LlamaIndex
Common issues when connecting Chargify to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpChargify + LlamaIndex FAQ
Common questions about integrating Chargify 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 Chargify 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 Chargify to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.