Can I see all open job positions in my company?

Yes! Use the `list_organization_jobs` tool. The agent will return all roles, and you can filter or identify those that are currently marked as open or unfilled.

How do I check the reporting line for a specific person?

Use the `get_person_details` tool with the person's unique ID. Your agent will fetch the full profile, which includes their manager and organizational placement data.

Where do I find my ChartHop Org ID and API Token?

You can find your Org ID in the URL when logged into ChartHop. To get an API Token, you typically need to create a 'ChartHop App' or request one from your administrator.

ChartHop MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: ChartHop
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ChartHop through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="ChartHop Assistant",
            instructions=(
                "You help users interact with ChartHop. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from ChartHop"
        )
        print(result.final_output)

asyncio.run(main())

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Ed25519Audit chain

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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.

The OpenAI Agents SDK auto-discovers all 8 tools from ChartHop through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ChartHop, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the ChartHop MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from ChartHop

Why Use OpenAI Agents SDK with the ChartHop MCP Server

OpenAI Agents SDK provides unique advantages when paired with ChartHop through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

ChartHop + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the ChartHop MCP Server delivers measurable value.

Automated workflows: build agents that query ChartHop, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries ChartHop, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through ChartHop tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query ChartHop to resolve tickets, look up records, and update statuses without human intervention

ChartHop MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect ChartHop to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting ChartHop to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

ChartHop + OpenAI Agents SDK FAQ

Common questions about integrating ChartHop MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.