Fountain MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Fountain as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="fountain_agent",
tools=tools,
system_message=(
"You help users with Fountain. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Fountain tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Fountain MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 12 tools from Fountain automatically
Why Use AutoGen with the Fountain MCP Server
AutoGen provides unique advantages when paired with Fountain through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Fountain tools to solve complex tasks
Role-based architecture lets you assign Fountain tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Fountain tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Fountain tool responses in an isolated environment
Fountain + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Fountain MCP Server delivers measurable value.
Collaborative analysis: one agent queries Fountain while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Fountain, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Fountain data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Fountain responses in a sandboxed execution environment
Fountain MCP Tools for AutoGen (12)
These 12 tools become available when you connect Fountain to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Fountain to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Fountain + AutoGen FAQ
Common questions about integrating Fountain MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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.
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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 Fountain to AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
