ChartMogul MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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();
* 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 subscription analytics through natural conversation. Access real-time SaaS metrics like MRR, ARR, and Churn Rate.
The Vercel AI SDK gives every ChartMogul tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Metrics Oversight — Retrieve all high-level subscription metrics (MRR, ARR, ARPA, ASP) natively
- Growth Intelligence — Access detailed customer count and churn rate data flawlessly
- Customer Deep-Dives — List and retrieve complete profiles for any customer in your database securely
- Data Logistics — List and audit all configured data sources providing information to your account flawlessly
- Revenue Analysis — Track MRR and ARR trends over specific timeframes directly within your workspace
- System Verification — Verify API connectivity and account status using the built-in ping and diagnostic tools
The ChartMogul MCP Server exposes 8 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.
How to Connect ChartMogul to Vercel AI SDK via MCP
Follow these steps to integrate the ChartMogul MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 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.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same ChartMogul integration everywhere
Built-in streaming UI primitives let you display ChartMogul tool results progressively in React, Svelte, or Vue components
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.
AI-powered web apps: build dashboards that query ChartMogul in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ChartMogul tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ChartMogul capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ChartMogul through natural language queries
ChartMogul MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect ChartMogul to Vercel AI SDK via MCP:
get_arr_metrics
Retrieve Annualized Run Rate metrics
get_customer_count_metrics
Retrieve total customer count metrics over time
get_mogul_customer_details
Get detailed information for a specific customer
get_mrr_metrics
Retrieve Monthly Recurring Revenue metrics
get_subscription_metrics
Retrieve all high-level subscription metrics (MRR, ARR, etc)
list_mogul_customers
List all customers in ChartMogul
list_mogul_data_sources
List all data sources configured in the account
ping_mogul_api
Verify connectivity and authentication with the ChartMogul API
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.
"What is my total MRR for the last 3 months?"
"Show me details for customer UUID 'cust_123456'."
"Get my subscription metrics for 2024-01-01 to 2024-03-31."
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.
createMCPClient is not a function
npm install @ai-sdk/mcpChartMogul + Vercel AI SDK FAQ
Common questions about integrating ChartMogul MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect ChartMogul 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 ChartMogul to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.