2,500+ MCP servers ready to use
Vinkius

ChartHop MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ChartHop through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "ChartHop Agent",
    instructions:
      "You help users interact with ChartHop " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with ChartHop?"
  );
  console.log(result.text);
}

main();
ChartHop
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and ChartHop tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the ChartHop MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

Mastra discovers 8 tools from ChartHop via MCP

Why Use Mastra AI with the ChartHop MCP Server

Mastra AI provides unique advantages when paired with ChartHop through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ChartHop without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every ChartHop tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

ChartHop + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the ChartHop MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query ChartHop, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed ChartHop as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query ChartHop on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using ChartHop tools alongside other MCP servers

ChartHop MCP Tools for Mastra AI (8)

These 8 tools become available when you connect ChartHop to Mastra AI via MCP:

01

get_job_details

Get detailed information for a specific job

02

get_organization_summary

Retrieve core organization information and settings

03

get_person_details

Get detailed profile information for a specific person

04

list_organization_departments

List all departments in the organization

05

list_organization_jobs

List all jobs (roles) in the organization

06

list_organization_people

List all people (employees) in the organization

07

list_organization_teams

List all teams in the organization

08

list_planning_scenarios

List headcount and compensation planning scenarios

Example Prompts for ChartHop in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with ChartHop immediately.

01

"Show me the headcount summary for my organization."

02

"List all departments and their leaders."

03

"Show me details for 'John Smith' in ChartHop."

Troubleshooting ChartHop MCP Server with Mastra AI

Common issues when connecting ChartHop to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

ChartHop + Mastra AI FAQ

Common questions about integrating ChartHop MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect ChartHop to Mastra AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.