JobScore MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect JobScore 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="JobScore Assistant",
instructions=(
"You help users interact with JobScore. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from JobScore"
)
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 JobScore MCP Server
Empower your AI agents with JobScore's comprehensive applicant tracking system. This MCP server allows you to list and retrieve job postings, track candidates, manage hiring teams and departments, and view hiring sources directly through the JobScore API. Ideal for automating recruitment workflows and talent acquisition.
The OpenAI Agents SDK auto-discovers all 10 tools from JobScore through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries JobScore, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The JobScore 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 JobScore to OpenAI Agents SDK via MCP
Follow these steps to integrate the JobScore 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 JobScore
Why Use OpenAI Agents SDK with the JobScore MCP Server
OpenAI Agents SDK provides unique advantages when paired with JobScore 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
JobScore + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the JobScore MCP Server delivers measurable value.
Automated workflows: build agents that query JobScore, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries JobScore, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through JobScore tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query JobScore to resolve tickets, look up records, and update statuses without human intervention
JobScore MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect JobScore to OpenAI Agents SDK via MCP:
get_candidate
Returns contact history, resume highlights (if available), and current application status. Use this before an interview or when evaluating an applicant. Retrieves details for a specific candidate
get_job
Includes job descriptions, requirements, and hiring team identifiers. Use this to provide detailed information about a specific opening. Retrieves details for a specific job
get_me
Use this to verify connection status and identity. Gets current authenticated user info
list_candidates
Includes candidate names, current stage, and IDs. Essential for monitoring the talent pool and identifying new applications. Lists all candidates
list_departments
g., Engineering, Marketing) used to categorize jobs in JobScore. Useful for filtering hiring data by business unit. Lists all departments
list_hiring_teams
Useful for identifying recruiters and hiring managers associated with specific jobs. Lists all hiring teams
list_jobs
Returns job titles, IDs, and departments. Use this to identify active positions or find a job ID for candidate management. Lists all jobs in JobScore
list_locations
Useful for understanding the geographical scope of hiring efforts. Lists all office locations
list_sources
g., "LinkedIn", "Referral", "Job Board") from which candidates are originating. Essential for analyzing the effectiveness of hiring channels. Lists all candidate sources
list_users
Useful for identifying team members and their roles. Lists all users in the account
Example Prompts for JobScore in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with JobScore immediately.
"List all open jobs in JobScore."
"Show me the details for candidate ID '789'."
"Check the hiring team for the 'Software Engineer' job."
Troubleshooting JobScore MCP Server with OpenAI Agents SDK
Common issues when connecting JobScore to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
JobScore + OpenAI Agents SDK FAQ
Common questions about integrating JobScore 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 JobScore with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 JobScore to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.