Mav MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 9 tools to Create Lead, Get Lead, Get Playbook, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Mav through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Mav app connector for OpenAI Agents SDK is a standout in the Human Resources category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Mav Assistant",
instructions=(
"You help users interact with Mav. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Mav"
)
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 Mav MCP Server
Connect your Mav AI recruiting account to any AI agent and manage candidate screening through natural conversation.
The OpenAI Agents SDK auto-discovers all 9 tools from Mav through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Mav, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Candidate Screening — Trigger automated AI screening conversations
- SMS Campaigns — Launch and manage outbound SMS recruiting campaigns
- Lead Management — Browse candidates and their qualification status
- Engagement Tracking — Monitor open rates, reply rates, and drop-offs
- Interview Data — Access responses and screening transcripts
The Mav MCP Server exposes 9 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.
All 9 Mav tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Mav through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-recruiting, candidate-screening, sms-engagement, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a lead and trigger a playbook
Get details for a specific lead
Get details for a specific playbook
List recent activities/events
List all leads
List all available Mav playbooks
Manually opt-out a lead
Stop a running playbook for a lead
Update an existing lead
Connect Mav to OpenAI Agents SDK via MCP
Follow these steps to wire Mav into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Mav MCP Server
OpenAI Agents SDK provides unique advantages when paired with Mav 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
Mav + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Mav MCP Server delivers measurable value.
Automated workflows: build agents that query Mav, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Mav, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Mav tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Mav to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Mav in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Mav immediately.
"Show active SMS campaigns and completion rates."
"Launch a screening campaign for the new Warehouse Staff list."
"Show screening results and transcripts for qualified candidates."
Troubleshooting Mav MCP Server with OpenAI Agents SDK
Common issues when connecting Mav to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Mav + OpenAI Agents SDK FAQ
Common questions about integrating Mav 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.