- STATUS
- MATCH
- ACTION
- LOG
Short answer
How can I track candidate pipelines with my AI?
Your AI uses the LiftedWork MCP to pull specific project and task data from your staffing platform. You can ask for status updates on specific roles or check which candidates are tied to active job requirements. Here is how it works.
Where your data lands.
Pipeline outcomes.
The AI organizes your staffing information into these specific views.
STATUS
Pipeline visibility
The AI uses your task data to show exactly where a candidate sits in the hiring process. You get a clear view of bottlenecks without manual searching.
MATCH
Requirement checks
Your agent compares candidate profiles against active project needs. It identifies which people fit specific job requirements instantly.
ACTION
Human review
The AI flags candidates that need a follow-up or a manual review. You decide when to step in and talk to a person.
LOG
Activity history
The AI pulls recent updates from your staffing tasks. You can see the latest movements in your recruitment cycle.
The workflow
What your AI does when you ask about candidates.
The AI acts as a bridge between your chat interface and your staffing database.
Find active roles
The AI looks through your current staffing workload to find relevant job openings.
list_projectsCheck candidate status
It pulls the specific details and progress notes for every person assigned to a role.
list_tasksIdentify gaps
The agent compares the requirements of a project against the current task list.
list_projectslist_tasksSummarize progress
The AI compiles all the task data into a plain English update for you.
list_tasks
Try it
Copy these to start.
Use these prompts to begin interacting with your staffing data.
Starting points
These are basic questions. Swap out the project names or candidate names with your actual data.
LiftedWork Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_6tyg9YYZFjKqyjmQ0oP4fUyw7kO1qyr7SQ1QkBUI/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — LiftedWork capabilities are ready to use.
{
"mcpServers": {
"liftedwork-mcp": {
"url": "https://edge.vinkius.com/vk_preview_6tyg9YYZFjKqyjmQ0oP4fUyw7kO1qyr7SQ1QkBUI/mcp"
}
}
}Which candidates are currently assigned to the Senior Developer project?
List all active tasks related to the Marketing Manager role.
Show me the progress for the recent interview tasks in my current projects.
Are there any unfilled requirements in the Healthcare Specialist project?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect LiftedWork once, then ask.
Click the link to connect your account. Your credentials stay encrypted, and you can immediately start chatting with your data in your preferred AI client.
Connect LiftedWork to your AIFAQ
How this task behaves.
- 01
Can the AI change candidate status for me?
No. The AI can only read your project and task data. You must manually update statuses in your staffing tool.
- 02
Does the AI delete any of my staffing data?
No. The AI has read-only access through these tools. It cannot delete or modify your records.
- 03
Can I ask about candidates not in my current projects?
The AI can only see the data it can access via the list_projects and list_tasks tools.
- 04
How does the AI know which job requirements to check?
It reads the project and task details provided by your staffing data to find those requirements.
- 05
Can the AI send emails to candidates?
No. This MCP is designed for querying and retrieving data, not for sending outbound communications.
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