Fountain MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Fountain through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"fountain": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Fountain Agent",
instructions:
"You help users interact with Fountain " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Fountain?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Fountain tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Fountain MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 12 tools from Fountain via MCP
Why Use Mastra AI with the Fountain MCP Server
Mastra AI provides unique advantages when paired with Fountain through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Fountain without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Fountain tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Fountain + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Fountain MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Fountain, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Fountain as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Fountain on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Fountain tools alongside other MCP servers
Fountain MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Fountain to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Fountain to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFountain + Mastra AI FAQ
Common questions about integrating Fountain MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.