How do I get an API Token for Fountain?

You can find or generate your API token in your Fountain dashboard under Company Settings > Developer Settings.

Does Fountain support bulk actions?

Yes, the Fountain API is designed for scale. While this MCP server focuses on management and retrieval, bulk advance and transitions are supported by the core platform.

Can I see interview schedules via the agent?

Yes, the 'list_interview_sessions' tool allows you to retrieve all scheduled and past interview sessions directly from your account.

Is worker data accessible after hire?

Yes, you can use the 'list_workers' tool to access profiles of individuals who have successfully transitioned to 'hired' status.

Fountain MCP Server for Google ADK 12 tools — connect in under 2 minutes

Name: Fountain
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Fountain as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="fountain_agent",
    instruction=(
        "You help users interact with Fountain "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Google ADK natively supports Fountain as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Fountain MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 12 tools from Fountain via MCP

Why Use Google ADK with the Fountain MCP Server

Google ADK provides unique advantages when paired with Fountain through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Fountain

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Fountain tools with BigQuery, Vertex AI, and Cloud Functions

Fountain + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Fountain MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Fountain and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Fountain tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Fountain regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Fountain

Fountain MCP Tools for Google ADK (12)

These 12 tools become available when you connect Fountain to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Fountain to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Fountain + Google ADK FAQ

Common questions about integrating Fountain MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.