LiftedWork MCP Server for Mastra AIGive Mastra AI instant access to 6 tools to Create Project, Create Task, List Clients, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect LiftedWork through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The LiftedWork app connector for Mastra AI is a standout in the Productivity category — giving your AI agent 6 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: {
"liftedwork": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "LiftedWork Agent",
instructions:
"You help users interact with LiftedWork " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with LiftedWork?"
);
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 LiftedWork MCP Server
Connect your LiftedWork account to any AI agent and manage staffing through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and LiftedWork tool infrastructure. Connect 6 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
- Candidate Management — Browse candidates, inspect profiles, and track status
- Placement Tracking — Monitor active placements and contract details
- Job Listings — List open positions and their requirements
The LiftedWork MCP Server exposes 6 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 6 LiftedWork tools available for Mastra AI
When Mastra AI connects to LiftedWork through Vinkius, your AI agent gets direct access to every tool listed below — spanning staffing, candidate-management, job-listings, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new project
Pass task data as a JSON string. Create a new task
List all clients
List all projects
List all agency tasks
List all time tracking entries
Connect LiftedWork to Mastra AI via MCP
Follow these steps to wire LiftedWork into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the 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 LiftedWork MCP Server
Mastra AI provides unique advantages when paired with LiftedWork through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add LiftedWork 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 LiftedWork 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
LiftedWork + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the LiftedWork MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query LiftedWork, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed LiftedWork as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query LiftedWork on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using LiftedWork tools alongside other MCP servers
Example Prompts for LiftedWork in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with LiftedWork immediately.
"Show open positions and candidate pipeline status."
"Show candidates for the Senior Developer role."
"Show active placements and contract details."
Troubleshooting LiftedWork MCP Server with Mastra AI
Common issues when connecting LiftedWork to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLiftedWork + Mastra AI FAQ
Common questions about integrating LiftedWork 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.