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How to Use the ChartHop MCP in Claude

Pull real-time org charts, employee details, and headcount plans straight into Claude Desktop.

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Works with every AI agent you already use

…and any MCP-compatible client

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Claude Desktop

Connect ChartHop MCP to Claude Desktop

Create your Vinkius account to connect ChartHop to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Map your organization in Claude Desktop

The ChartHop MCP Server lets your AI client read your company directory and department structures instantly. You ask for a breakdown of the engineering org, and Claude pulls the exact roster using `list_organization_people` and `list_organization_departments`. No exporting CSVs or logging into a separate HR portal just to see who reports to whom. Digging into individual profiles happens just as fast. Running `get_person_details` grabs specific employee data like title, manager, and tenure. This turns Claude into a fast search engine for your entire company hierarchy.

Read headcount planning scenarios

Checking compensation plans or future headcount changes requires accurate context. Your AI agent reads active planning environments through `list_planning_scenarios` to show you proposed hires and budget shifts. You get the raw data without having to navigate through complex HR dashboards. Top-level metrics come through the `get_organization_summary` tool. Claude pulls total headcount, core settings, and structural overviews in seconds. Getting an accurate snapshot of the company size takes one simple prompt.

Query job roles and team layouts

Finding open reqs or mapping current roles is a standard task for this MCP Server. Calling `list_organization_jobs` dumps all existing roles across the company, while `list_organization_teams` groups them by operational units. You skip the manual sorting and let the AI build the exact view you need. Specific role requirements are easy to check. The `get_job_details` tool fetches the exact parameters of any position. Claude can then draft job descriptions or compare current roles based on real data from your ChartHop instance.

Setup guide

Set up ChartHop MCP in Claude Web or Desktop

  1. 1

    Open Claude Settings

    Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

  2. 2

    Add Custom Connector

    Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

  3. 3

    Start a conversation

    Open a new chat. The ChartHop MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ChartHop MCP in Claude Desktop

You add the Vinkius endpoint URL to your Claude integrations settings. The web version accepts remote MCP URLs directly, while the desktop app uses the `claude_desktop_config.json` file.
No, this connection only reads data. Tools like `get_person_details` and `list_organization_people` pull information into your chat, but they cannot modify your HR database.
Your agent reads departments, teams, jobs, people, and planning scenarios. It uses specific tools to fetch lists or detailed profiles based on your prompts.
You only need the Vinkius endpoint token to connect the MCP Server. Data access depends entirely on the permissions tied to the API key used during your initial Vinkius setup.
Employee profiles, compensation plans, and headcount scenarios stay protected. Vinkius runs the MCP Server in an ephemeral V8 Isolate sandbox that shuts down immediately after returning data to Claude, leaving zero trace.

Start using the ChartHop MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for ChartHop. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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