4,000+ servers built on vurb.ts
Vinkius
Vercel AI SDKSDK
Troops MCP Server

Bring Job Management
to Vercel AI SDK

Learn how to connect Troops to Vercel AI SDK and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Create CandidateCreate JobGenerate ContractGet CandidateList JobsSign ContractSubmit Timesheet

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Troops

What is the Troops MCP Server?

Connect your Troops account to any AI agent to streamline your recruitment and HR operations through natural conversation.

What you can do

  • Job Management — List existing job offers or create new ones with specific locations and dates using list_jobs and create_job.
  • Candidate Pipeline — Register new candidates and retrieve detailed profiles instantly with create_candidate and get_candidate.
  • Contract Automation — Generate legal contracts for specific jobs and trigger electronic signature processes via generate_contract and sign_contract.
  • Time Tracking — Submit and manage timesheets for active contracts to ensure accurate payroll using submit_timesheet.

How it works

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

Who is this for?

  • HR Managers — quickly list open positions and candidate details without switching tabs.
  • Recruiters — automate the registration of new talent and contract generation.
  • Operations Teams — streamline the submission of hours and contract signing workflows.

Built-in capabilities (7)

create_candidate

Register a new candidate

create_job

Create a new job offer

generate_contract

Generate a contract

get_candidate

Get candidate details

list_jobs

Can be filtered by status. List job offers

sign_contract

Sign a contract

submit_timesheet

Submit a time sheet

Why Vercel AI SDK?

The Vercel AI SDK gives every Troops tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

  • TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

  • Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Troops integration everywhere

  • Built-in streaming UI primitives let you display Troops tool results progressively in React, Svelte, or Vue components

  • Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

See it in action

Troops in Vercel AI SDK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Troops and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Troops to Vercel AI SDK 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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ 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
Enterprise Security

Why teams choose Vinkius for Troops in Vercel AI SDK

The Troops 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 7 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Vercel AI SDK 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.

Troops
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 Troops for Vercel AI SDK

Every tool call from Vercel AI SDK to the Troops 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

How can I see all currently published job offers?

You can use the list_jobs tool. You can also filter the results by status, such as 'published', to see only active listings.

02

Is it possible to register a new candidate directly through the AI?

Yes! Use the create_candidate tool by providing the candidate's first name, last name, and email address to add them to your Troops database.

03

How do I submit hours worked for a specific contract?

Use the submit_timesheet tool. You will need to provide the contract_id and a JSON array representing the daily hours worked.

04

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

05

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

06

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

07

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

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