Fountain MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Fountain through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Fountain, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every Fountain tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Fountain MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from Fountain and passes them to the LLM
Why Use Vercel AI SDK with the Fountain MCP Server
Vercel AI SDK provides unique advantages when paired with Fountain through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Fountain integration everywhere
Built-in streaming UI primitives let you display Fountain tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Fountain + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Fountain MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Fountain in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Fountain tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Fountain capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Fountain through natural language queries
Fountain MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Fountain to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Fountain to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFountain + Vercel AI SDK FAQ
Common questions about integrating Fountain MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.