Bring Contingent Workforce
to Vercel AI SDK
Create your Vinkius account to connect Beeline to Vercel AI SDK and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Beeline MCP Server?
Connect your Beeline Vendor Management System (VMS) account to any AI agent and orchestrate your contingent workforce operations through natural conversation.
What you can do
- Assignment Oversight — List and inspect active work assignments to monitor external talent deployment.
- Requisition Management — Query job requisitions and search for open postings within your organization.
- Time & Expense Tracking — Retrieve submitted timesheets and expense reports for auditing and approval workflows.
- Supplier Management — List and verify the vendors and suppliers linked to your Beeline account.
- User Auditing — Retrieve account profile information to ensure correct system access.
How it works
- Subscribe to this server
- Enter your Beeline OAuth Access Token
- Start managing your external talent from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Hiring Managers — instantly check the status of job requisitions without logging into the VMS dashboard.
- Procurement Teams — audit supplier lists and assignment metadata straight from their workflow tools.
- HR Ops — retrieve timesheet summaries and assignment details during workforce planning meetings.
Built-in capabilities (10)
Get details of a specific assignment
Get details of a job requisition
Get details of a specific timesheet
Get Beeline user profile
List active work assignments
List expense reports
List job requisitions
List vendors/suppliers
List submitted timesheets
Search job requisitions by keyword
Why Vercel AI SDK?
The Vercel AI SDK gives every Beeline tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Beeline integration everywhere
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Built-in streaming UI primitives let you display Beeline tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Beeline in Vercel AI SDK
Why run Beeline with Vinkius?
The Beeline connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Beeline using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Beeline and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Beeline to Vercel AI SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Beeline for Vercel AI SDK
Every request between Vercel AI SDK and Beeline is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can I check the status of a specific job requisition from the agent?
Yes! Use the get_requisition tool with the Requisition ID. Your agent will fetch the latest status and metadata directly from the Beeline cloud.
How do I list all active assignments for my department?
Simply ask the agent to list_assignments. It will retrieve the current work orders and assignments linked to your account for your review.
Does the integration support approving timesheets directly?
Currently, the toolset is focused on querying and auditing (Read-Only). You can list and inspect timesheets, but approvals must be performed within the Beeline VMS platform for security compliance.
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.
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.
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.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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