How to Use the ChartMogul MCP in Vercel AI SDK

Q: How do I fetch ChartMogul ARR in Vercel AI SDK?

Use the getarrhistory tool within your generateText call. The server returns the time-series data, which you then pass to your charting library.

Q: Can Vercel AI SDK display churn data from ChartMogul?

Yes. Invoke getchurnrates to pull retention metrics into your logic. You can then stream these figures to your frontend components.

Stream real-time SaaS metrics from ChartMogul directly into your Vercel AI SDK frontends without the wait.

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Connect ChartMogul MCP to Vercel AI SDK

Create your Vinkius account to connect ChartMogul to Vercel AI SDK 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 Vercel AI SDK

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Live metric streaming in Vercel AI SDK

Feed your UI live subscription data by piping `get_mrr_history` and `get_arr_history` directly into your streamText responses. Your users watch their growth charts populate as the AI processes the data. Stop relying on stale dashboards for your React components. This MCP server pushes raw data through your Edge Functions so your interface updates the second the model finishes its call.

Customer profile inspection for frontends

Inject granular customer insights using `get_customer_details` and `get_customer_ltv` to build personalized user dashboards. Your AI agent fetches the exact LTV or profile snapshot needed for the current view. Developers can bind these tool outputs to local state to trigger UI changes instantly. It cuts out the middleman between your database and the user's browser.

Manage billing plans via MCP Server

Query your active billing structures using `list_subscription_plans` to let your AI handle customer inquiries about plan tiers. The agent interprets the data and presents it in human-readable text for your users. Keep your application logic clean by letting the model handle the data fetching. You define the tool call, and the SDK handles the rest of the flow.

Setup guide

Set up ChartMogul MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all ChartMogul tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent ChartMogul transactions",
});

console.log(text);
await mcpClient.close();

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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.

Why Choose Vinkius

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about ChartMogul MCP in Vercel AI SDK

Use the `get_arr_history` tool within your generateText call. The server returns the time-series data, which you then pass to your charting library.

Yes. Invoke `get_churn_rates` to pull retention metrics into your logic. You can then stream these figures to your frontend components.

It does. Because the server uses streaming transport, your AI client receives and renders metric updates as they arrive from the API.

We enforce strict token-based authentication for every request. Your sensitive subscription records never touch logs or persistent storage.

Data remains ephemeral and is only used to satisfy the specific tool call. We do not store or cache your SaaS metrics on our servers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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