3,400+ MCP servers ready to use
Vinkius
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Bring Staffing
to Pydantic AI

Learn how to connect LiftedWork to Pydantic AI and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create ProjectCreate TaskList ClientsList ProjectsList TasksList Time Entries
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the LiftedWork MCP Server?

Connect your LiftedWork account to any AI agent and manage staffing through natural conversation.

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

How it works

1. Subscribe to this server
2. Enter your LiftedWork API Key
3. Start managing staffing from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Recruiters — manage candidate pipelines and placements
  • HR Teams — track open positions and applications
  • Staffing Agencies — monitor active placements

Built-in capabilities (6)

create_project

Create a new project

create_task

Pass task data as a JSON string. Create a new task

list_clients

List all clients

list_projects

List all projects

list_tasks

List all agency tasks

list_time_entries

List all time tracking entries

Why Pydantic AI?

Pydantic AI validates every LiftedWork tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

  • —

    Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

  • —

    Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your LiftedWork integration code

  • —

    Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

  • —

    Dependency injection system cleanly separates your LiftedWork connection logic from agent behavior for testable, maintainable code

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See it in action

LiftedWork in Pydantic AI

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

LiftedWork and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect LiftedWork to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for Pydantic AI →
Enterprise Security

Why teams choose Vinkius for LiftedWork in Pydantic AI

The LiftedWork 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Use with Your AI Agent View full LiftedWork details →
LiftedWork
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures LiftedWork for Pydantic AI

Every tool call from Pydantic AI to the LiftedWork MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I manage candidates and track placements?

Yes. Browse candidate profiles, track their status through the pipeline, and monitor active placements with contract details.

02

Can I browse open positions?

Yes. List all open job listings with requirements, location, and application counts.

03

What API does LiftedWork use?

Bearer authentication against api.liftedwork.com/v1.

04

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

05

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

06

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your LiftedWork MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

07

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai