ApplicantStack MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ApplicantStack through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="ApplicantStack Assistant",
instructions=(
"You help users interact with ApplicantStack. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ApplicantStack"
)
print(result.final_output)
asyncio.run(main())
* 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 ApplicantStack MCP Server
The ApplicantStack MCP Server integrates your recruiting and onboarding workflows directly into your AI workspace. Efficiently manage your job listings, track candidate progress through custom stages, and streamline your hiring process using simple natural language.
The OpenAI Agents SDK auto-discovers all 7 tools from ApplicantStack through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ApplicantStack, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Job Management — List all active and closed job openings, and retrieve full metadata for any specific listing.
- Candidate Tracking — Access your entire applicant database and filter by workflow stage or score.
- Workflow Automation — Move candidates between stages (e.g., from 'Interview' to 'Hired') and update their profiles instantly.
- Onboarding & Hires — Access onboarding data for new hires to ensure a smooth transition from applicant to employee.
- Secure Access — Uses private access tokens to safely interact with your organization's recruiting data.
Benefits for Teams
- Recruiters — Quickly check the status of candidates for multiple jobs without switching between tabs.
- Hiring Managers — Review candidate profiles and scores using AI-assisted summaries.
- HR Teams — Track hiring trends and ensure onboarding tasks are initiated for all new hires.
The ApplicantStack MCP Server exposes 7 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 ApplicantStack to OpenAI Agents SDK via MCP
Follow these steps to integrate the ApplicantStack 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 7 tools from ApplicantStack
Why Use OpenAI Agents SDK with the ApplicantStack MCP Server
OpenAI Agents SDK provides unique advantages when paired with ApplicantStack 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
ApplicantStack + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ApplicantStack MCP Server delivers measurable value.
Automated workflows: build agents that query ApplicantStack, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ApplicantStack, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ApplicantStack tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ApplicantStack to resolve tickets, look up records, and update statuses without human intervention
ApplicantStack MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect ApplicantStack to OpenAI Agents SDK via MCP:
get_account_check
Verify ApplicantStack account connection
get_candidate
Get details for a specific candidate
get_job
Get details for a specific job
list_candidates
List all candidates
list_hires
List all hires (onboarding)
list_jobs
List all job listings in ApplicantStack
update_candidate
Use stage field to move them in the workflow. Update candidate information or stage
Example Prompts for ApplicantStack in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ApplicantStack immediately.
"List all active job openings in ApplicantStack."
"Show me candidates currently in the 'Interview' stage."
"Move candidate 'C12345' to the 'Hired' stage."
Troubleshooting ApplicantStack MCP Server with OpenAI Agents SDK
Common issues when connecting ApplicantStack to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ApplicantStack + OpenAI Agents SDK FAQ
Common questions about integrating ApplicantStack MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect ApplicantStack with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ApplicantStack to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.