How do I move a candidate to a specific stage?

Use the `update_opportunity_stage` tool with the unique opportunity ID and the target stage ID. You can find stage IDs using the `list_hiring_stages` tool.

Can I archive an application via the agent?

Yes, use the `archive_hiring_opportunity` tool. You will need to provide the opportunity ID and a valid archive reason ID.

Is it possible to see a candidate's contact information?

Absolutely. Use the `get_candidate_profile` tool with the candidate's unique ID to retrieve their full profile, including email, phone, and links.

Lever MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Lever
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Lever 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="Lever Assistant",
            instructions=(
                "You help users interact with Lever. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 Lever MCP Server

Connect your Lever account to any AI agent to streamline your recruitment and talent acquisition workflows. This MCP server enables your agent to interact with job postings, manage candidate opportunities, and move applications through your hiring pipeline directly.

The OpenAI Agents SDK auto-discovers all 10 tools from Lever through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Lever, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Posting Oversight — List and retrieve detailed configurations for all your active job advertisements
Opportunity Management — Manage candidate applications (Opportunities), track their status, and move them through hiring stages
Candidate Insight — Access complete candidate profiles, contact details, and interaction histories
Pipeline Control — List hiring stages and automate the archiving of applications with specific reasons
Workflow Automation — Create new job postings or candidate records directly from natural language interfaces

The Lever MCP Server exposes 10 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 Lever to OpenAI Agents SDK via MCP

Follow these steps to integrate the Lever 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 10 tools from Lever

Why Use OpenAI Agents SDK with the Lever MCP Server

OpenAI Agents SDK provides unique advantages when paired with Lever 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

Lever + OpenAI Agents SDK Use Cases

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

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

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

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

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

Lever MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Lever to OpenAI Agents SDK via MCP:

archive_hiring_opportunity

Archive a candidate opportunity

create_hiring_opportunity

Requires a JSON body with opportunity details. Create a new candidate opportunity

create_job_posting

Requires a JSON body with posting details. Create a new job posting

get_candidate_profile

Get details for a specific candidate (person)

get_opportunity_details

Get details for a specific candidate opportunity

get_posting_details

Get details for a specific job posting

list_hiring_opportunities

List all candidate opportunities (applications)

list_hiring_stages

g., Screen, Interview) configured in your Lever account. List all defined hiring pipeline stages

list_job_postings

List all job postings

update_opportunity_stage

g., move to "Interview" or "Offer"). Move a candidate to a different hiring stage

Example Prompts for Lever in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Lever immediately.

"List all my current job postings in Lever."

"Move opportunity ID 'opp-123' to the 'Interview' stage (ID: 'stage-abc')."

"Get the full profile for candidate ID 'cand-987'."

Troubleshooting Lever MCP Server with OpenAI Agents SDK

Common issues when connecting Lever 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.

Lever + OpenAI Agents SDK FAQ

Common questions about integrating Lever 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.