Flatwork ATS MCP Server for Mastra AIGive Mastra AI instant access to 8 tools to Create Applicant, Get Applicant, Get Job, and more
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Flatwork ATS through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this MCP Server for Mastra AI
The Flatwork ATS MCP Server for Mastra AI is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"flatwork-ats": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Flatwork ATS Agent",
instructions:
"You help users interact with Flatwork ATS " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Flatwork ATS?"
);
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 Flatwork ATS MCP Server
Connect your Flatwork ATS account to any AI agent and take full control of your recruitment pipeline and candidate management workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Flatwork ATS tool infrastructure. Connect 8 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.
What you can do
- Job Orchestration — List all open and closed job postings and retrieve detailed metadata, including hiring teams and job requirements programmatically
- Candidate Tracking — Manage your complete directory of applicants and retrieve detailed profiles and contact information programmatically
- Application Lifecycle — Monitor active job applications and update candidate hiring stages (Interview, Hired, Rejected) directly through your agent
- Applicant Discovery — Programmatically create new candidates in the system using external data to automate your sourcing pipeline
- System Monitoring — List configured webhooks to understand real-time data flows and ensure high-fidelity synchronization with your HR tools
The Flatwork ATS MCP Server exposes 8 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.
All 8 Flatwork ATS tools available for Mastra AI
When Mastra AI connects to Flatwork ATS through Vinkius, your AI agent gets direct access to every tool listed below — spanning hiring-pipeline, candidate-tracking, job-postings, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Pass applicant data as a JSON string. Add a new candidate
Get applicant details
Get job details
List all applicants/candidates
List all job applications
List all job postings
List configured webhooks
Update application hiring stage
Connect Flatwork ATS to Mastra AI via MCP
Follow these steps to wire Flatwork ATS into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Flatwork ATS MCP Server
Mastra AI provides unique advantages when paired with Flatwork ATS through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Flatwork ATS 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 Flatwork ATS 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
Flatwork ATS + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Flatwork ATS MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Flatwork ATS, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Flatwork ATS as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Flatwork ATS on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Flatwork ATS tools alongside other MCP servers
Example Prompts for Flatwork ATS in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Flatwork ATS immediately.
"List all active job postings in Flatwork ATS."
"Add 'John Doe' (john.doe@example.com) as a new applicant."
"Move application ID 'app_987' to the 'Interview' stage."
Troubleshooting Flatwork ATS MCP Server with Mastra AI
Common issues when connecting Flatwork ATS to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFlatwork ATS + Mastra AI FAQ
Common questions about integrating Flatwork ATS 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.