Fountain MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Fountain 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="Fountain Assistant",
instructions=(
"You help users interact with Fountain. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Fountain"
)
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 Fountain MCP Server
Connect your Fountain account to any AI agent to automate your high-volume hiring and applicant lifecycle management through the Model Context Protocol (MCP). Fountain is designed specifically for frontline workforce management, allowing you to streamline every stage from sourcing to onboarding. This MCP server enables you to manage your applicant funnels, track hiring progress, and oversee worker profiles directly through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Fountain through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Fountain, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Applicant Oversight — List all applicants, search by email or funnel, and fetch detailed profiles including transition history.
- Funnel & Stage Management — Access and list your hiring funnels and specific stages to understand your pipeline health.
- Hiring Goal Tracking — Monitor your progress against specific hiring targets and performance metrics.
- Opening Management — List all active job openings and fetch detailed metadata for specific positions.
- Interview Coordination — List and oversee scheduled interview sessions across your organization.
- Worker Profiles — Access metadata for individuals who have successfully completed the hiring process.
- Sourcing Insights — Monitor published job posts across various channels to optimize your recruitment reach.
The Fountain MCP Server exposes 12 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 Fountain to OpenAI Agents SDK via MCP
Follow these steps to integrate the Fountain 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 12 tools from Fountain
Why Use OpenAI Agents SDK with the Fountain MCP Server
OpenAI Agents SDK provides unique advantages when paired with Fountain 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
Fountain + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Fountain MCP Server delivers measurable value.
Automated workflows: build agents that query Fountain, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Fountain, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Fountain tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Fountain to resolve tickets, look up records, and update statuses without human intervention
Fountain MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Fountain to OpenAI Agents SDK via MCP:
get_account_details
Get organization attributes
get_applicant
Get applicant details
get_opening_details
Get opening metadata
list_applicant_notes
Get applicant discussion
list_applicants
List job applicants
list_funnel_stages
List stages in a funnel
list_funnels
List hiring funnels
list_hiring_goals
List hiring targets
list_interview_sessions
List scheduled interviews
list_job_posts
List published job posts
list_openings
List active job openings
list_workers
List hired workers
Example Prompts for Fountain in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Fountain immediately.
"List all active job openings in Fountain."
"Show me the last 10 applicants for the 'Delivery' funnel."
"Get the hiring goals summary for this quarter."
Troubleshooting Fountain MCP Server with OpenAI Agents SDK
Common issues when connecting Fountain to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Fountain + OpenAI Agents SDK FAQ
Common questions about integrating Fountain 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 Fountain 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 Fountain to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.