How to Use the Namely MCP in OpenAI Agents SDK

Q: How do I connect my agent to this MCP server?

You get a single Vinkius endpoint URL. Pass it to the MCPServerStreamableHttp constructor in the OpenAI Agents SDK, and your agent will auto-discover all the Namely tools from the MCP server.

Q: How does the OpenAI Agents SDK handle custom fields from Namely?

The listfields tool returns the schema of your custom employee fields. Your agent can use this information to correctly query profiles that contain custom data, making your automations more specific to your organization.

Build production-ready HR agents with OpenAI's safety guardrails and direct access to your Namely data.

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Connect Namely MCP to OpenAI Agents SDK

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

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Setup Namely with OpenAI Agents SDK

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Look Up Employee and Team Data

This MCP server gives your agent direct tools to query your company's org chart. Use `get_profile` to pull a specific person's details, or `list_profiles` to get a whole department. It's how your agent can confirm who's who before taking action. Combine that with `get_team` and `list_teams` to understand reporting structures. The OpenAI agent framework automatically discovers these tools, so you can immediately ask it to find a manager or list a team's members without any extra configuration.

Sync with Company News and Events

Keep your autonomous agents aware of what's happening across the company. The `list_announcements` tool pulls the latest company-wide updates, while `list_events` fetches upcoming birthdays and work anniversaries. You can build workflows that, for example, post a summary of new announcements to a Slack channel or generate a weekly digest of team events. Your agent gets the context it needs to act like a real team member.

Automate HR Reporting with this MCP Server

Stop exporting CSVs. Give your OpenAI agent direct access to run and retrieve HR reports using the `list_reports` tool. You can ask it to fetch the latest headcount report or check on recruiting pipeline stats. Your agent can also query available job titles with `list_jobs` or inspect your organization's custom data structure with `list_fields`. This is the raw material for building more complex, automated HR processes inside your agent.

Setup guide

Set up Namely MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Namely tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Namely tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Namely tools and returns structured results. Copy the full example on the right to get started.

agent.py

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

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Namely Agent",
            instructions="You have access to Namely tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Namely MCP in OpenAI Agents SDK

You get a single Vinkius endpoint URL. Pass it to the `MCPServerStreamableHttp` constructor in the OpenAI Agents SDK, and your agent will auto-discover all the Namely tools from the MCP server.

Try building an onboarding assistant. The MCP server provides tools like `get_profile` to find a new hire's manager and team, then `list_announcements` to give them a summary of recent company news. OpenAI's guardrails make it safe to experiment.

No, it's straightforward. The SDK is designed for this. You just instantiate the server object with your URL and add it to your agent's `mcp_servers` list. No manual tool definition is needed.

The `list_fields` tool returns the schema of your custom employee fields. Your agent can use this information to correctly query profiles that contain custom data, making your automations more specific to your organization.

Your agent interacts with Namely employee profiles and job information through a secure, ephemeral Vinkius sandbox. The OpenAI SDK adds another layer, giving you full tracing and the ability to require human confirmation before the agent acts on sensitive HR data.

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