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ChartMogul MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Customer Record, Get Api Status, Get Arr History, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ChartMogul through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

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The ChartMogul app connector for Vercel AI SDK 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

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using ChartMogul, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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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.

The Vercel AI SDK gives every ChartMogul tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI SDK 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 Vercel AI SDK

When Vercel AI SDK 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.

create_customer_record

Add new customer

get_api_status

Check connection

get_arr_history

Analyze ARR

get_churn_rates

Analyze retention

get_customer_count_history

Monitor user growth

get_customer_details

Get customer profile

get_customer_ltv

Check Customer LTV

get_mrr_history

Analyze MRR

get_summary_metrics

Get key SaaS metrics

list_customers

List SaaS customers

list_data_sources

) connected to ChartMogul. List connected sources

list_subscription_plans

List billing plans

Connect ChartMogul to Vercel AI SDK via MCP

Follow these steps to wire ChartMogul into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from ChartMogul and passes them to the LLM

Why Use Vercel AI SDK with the ChartMogul MCP Server

Vercel AI SDK provides unique advantages when paired with ChartMogul through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same ChartMogul integration everywhere

03

Built-in streaming UI primitives let you display ChartMogul tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

ChartMogul + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the ChartMogul MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query ChartMogul in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate ChartMogul tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed ChartMogul capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with ChartMogul through natural language queries

Example Prompts for ChartMogul in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ChartMogul immediately.

01

"Show our MRR and ARR summary for the last 3 months."

02

"What is our current churn rate compared to last month?"

03

"Get the MRR contribution for customer 'john.doe@example.com'."

Troubleshooting ChartMogul MCP Server with Vercel AI SDK

Common issues when connecting ChartMogul to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

ChartMogul + Vercel AI SDK FAQ

Common questions about integrating ChartMogul MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.