ChartHop 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 ChartHop 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 ChartHop, 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 ChartHop MCP Server
Connect your ChartHop account to any AI agent and take full control of your organizational data and workforce planning through natural conversation. Streamline how you manage your roster and headcount.
The Vercel AI SDK gives every ChartHop 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
- Roster Oversight — List and retrieve details for all people and filled roles in your organization natively
- Headcount Planning — Access and monitor open job positions and headcount scenarios flawlessly
- Organizational Mapping — List departments, teams, and their hierarchical structures securely
- Deep-Dive Profiles — Retrieve complete person information, including job history and compensation metadata flawlessly
- Scenario Visibility — Access and review headcount and compensation planning scenarios in real-time
- System Intelligence — Retrieve core organization information and account settings directly within your workspace
The ChartHop 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 ChartHop to Vercel AI SDK via MCP
Follow these steps to integrate the ChartHop 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 ChartHop and passes them to the LLM
Why Use Vercel AI SDK with the ChartHop MCP Server
Vercel AI SDK provides unique advantages when paired with ChartHop 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 ChartHop integration everywhere
Built-in streaming UI primitives let you display ChartHop 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
ChartHop + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ChartHop MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ChartHop in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ChartHop tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ChartHop capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ChartHop through natural language queries
ChartHop MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect ChartHop to Vercel AI SDK via MCP:
get_job_details
Get detailed information for a specific job
get_organization_summary
Retrieve core organization information and settings
get_person_details
Get detailed profile information for a specific person
list_organization_departments
List all departments in the organization
list_organization_jobs
List all jobs (roles) in the organization
list_organization_people
List all people (employees) in the organization
list_organization_teams
List all teams in the organization
list_planning_scenarios
List headcount and compensation planning scenarios
Example Prompts for ChartHop in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ChartHop immediately.
"Show me the headcount summary for my organization."
"List all departments and their leaders."
"Show me details for 'John Smith' in ChartHop."
Troubleshooting ChartHop MCP Server with Vercel AI SDK
Common issues when connecting ChartHop to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpChartHop + Vercel AI SDK FAQ
Common questions about integrating ChartHop 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 ChartHop 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 ChartHop to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.