LiftedWork Connector for AI agents.
6 live capabilities
Manage staffing pipelines and candidate placements from your favorite workspace.
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Why people use LiftedWork
LiftedWork Staffing for Recruitment Pipeline Management
This Connector changes that by letting your agent do the searching for you. You can ask for a summary of open positions or a list of active placements, and your agent pulls that data instantly from LiftedWork.
What Vinkius changes
You get a conversational interface for your staffing and recruitment database.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Screening for a Senior Developer
A recruiter asks the agent to show candidates for a specific role and highlights the top matches from the database.
- Real-world use case 02
Checking contract status
A staffing manager asks about active placements and identifies which ones are ending soon to plan for renewals.
- Real-world use case 03
Onboarding a new client
An HR lead creates a new project and sets up initial tasks for a new staffing contract using create_project.
Complete set · 6capabilities
The complete LiftedWork capability set.
These are the exact actions your AI can choose when you ask it to work with LiftedWork.
01—03
3 capabilities in this set.
Part of 6 available through LiftedWork.
- 01 Capability
List clients
List all your current clients. This gives you a quick overview of your active business relationships.
- 02 Capability
Create project
Create a new project in your staffing system. This helps you organize different client accounts or initiatives.
- 03 Capability
Create task
Create a new task with specific JSON data. Use this to assign and track individual recruitment actions.
04—06
3 capabilities in this set.
Part of 6 available through LiftedWork.
- 04 Capability
List projects
List all active projects. Use this to see every ongoing staffing initiative at a glance.
- 05 Capability
List tasks
List all agency tasks. This helps you see what needs to be done across your entire operation.
- 06 Capability
List time entries
List all time tracking entries. Use this to review how much time is being spent on specific placements.
Set up in minutes
One URL. Then ask LiftedWork to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use LiftedWork from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_6tyg9YYZFjKqyjmQ0oP4fUyw7kO1qyr7SQ1QkBUI/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it LiftedWork, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable LiftedWork for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_6tyg9YYZFjKqyjmQ0oP4fUyw7kO1qyr7SQ1QkBUI/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the LiftedWork URL.
- Step 03
Save and start
Save the connection and enable LiftedWork in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"liftedwork": {
"url": "https://edge.vinkius.com/vk_preview_6tyg9YYZFjKqyjmQ0oP4fUyw7kO1qyr7SQ1QkBUI/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using LiftedWork
Open Agent mode in chat and ask: "Using LiftedWork, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"liftedwork": {
"url": "https://edge.vinkius.com/vk_preview_6tyg9YYZFjKqyjmQ0oP4fUyw7kO1qyr7SQ1QkBUI/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using LiftedWork
Ask Copilot: "Using LiftedWork, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"liftedwork": {
"url": "https://edge.vinkius.com/vk_preview_6tyg9YYZFjKqyjmQ0oP4fUyw7kO1qyr7SQ1QkBUI/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using LiftedWork
Open Cascade and ask: "Using LiftedWork, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"liftedwork": {
"url": "https://edge.vinkius.com/vk_preview_6tyg9YYZFjKqyjmQ0oP4fUyw7kO1qyr7SQ1QkBUI/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using LiftedWork
Ask Cline: "Using LiftedWork, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add liftedwork --transport http "https://edge.vinkius.com/vk_preview_6tyg9YYZFjKqyjmQ0oP4fUyw7kO1qyr7SQ1QkBUI/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using LiftedWork
Ask Claude: "Using LiftedWork, show me...". 6 tools are ready
Where the request belongs
Work LiftedWork can move forward.
Recruiters and HR managers who are buried in spreadsheets and need a way to query candidate data and project statuses without manual searching.
Staffing Agency Owner
Monitors active placements and revenue generating contracts to keep the business running.
Technical Recruiter
Manages high volume candidate pipelines and interview stages for various job roles.
HR Operations Manager
Tracks job listings and internal agency tasks to ensure smooth internal workflows.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Manage recruitment postings, candidate opportunities, and hiring stages via the Lever API.
Jobtoolz
Manage recruitment, jobs, and candidates via Jobtoolz API.
Ashby
Hire top talent faster with an all-in-one recruiting platform that combines ATS, scheduling, and hiring analytics.
Wizehire
Manage candidates, job postings, and hiring stages via Wizehire directly from your AI agent.
BrightMove
Manage your hiring pipeline via BrightMove. track jobs, applicants, and references directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep LiftedWork connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about LiftedWork.
The practical details behind the request, access and result.
Can I use LiftedWork MCP to manage my candidate pipeline?
Yes, it lets you browse candidates and track their status through your AI client.
Does LiftedWork MCP work for staffing agencies?
It is built specifically for staffing agencies to monitor placements and clients.
How do I see my active job listings with LiftedWork MCP?
You can ask your agent to list all open positions and their requirements.
Can I track time entries using LiftedWork MCP?
Yes, it provides a way to pull all time tracking entries into your chat.
Is LiftedWork MCP good for HR teams?
It helps HR teams manage job listings and track applications without manual data entry.
Can I create new projects with LiftedWork MCP?
You can use the Connector to create new projects and tasks directly from your AI client.
Can I manage candidates and track placements?
Yes. Browse candidate profiles, track their status through the pipeline, and monitor active placements with contract details.
Can I browse open positions?
Yes. List all open job listings with requirements, location, and application counts.
What API does LiftedWork use?
Bearer authentication against api.liftedwork.com/v1.
One connection away
Give your agent a direct line to LiftedWork.
Connect LiftedWork once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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