Beeline MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Beeline through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Beeline, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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
About Beeline MCP Server
Connect your Beeline Vendor Management System (VMS) account to any AI agent and orchestrate your contingent workforce operations through natural conversation.
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.
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.
The Beeline MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Beeline to Vercel AI SDK via MCP
Follow these steps to integrate the Beeline MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Beeline and passes them to the LLM
Why Use Vercel AI SDK with the Beeline MCP Server
Vercel AI SDK provides unique advantages when paired with Beeline through the Model Context Protocol.
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 Beeline integration everywhere
Built-in streaming UI primitives let you display Beeline 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
Beeline + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Beeline MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Beeline in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Beeline tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Beeline capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Beeline through natural language queries
Beeline MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Beeline to Vercel AI SDK via MCP:
get_assignment
Get details of a specific assignment
get_requisition
Get details of a job requisition
get_timesheet
Get details of a specific timesheet
get_user_info
Get Beeline user profile
list_assignments
List active work assignments
list_expenses
List expense reports
list_requisitions
List job requisitions
list_suppliers
List vendors/suppliers
list_timesheets
List submitted timesheets
search_requisitions
Search job requisitions by keyword
Example Prompts for Beeline in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Beeline immediately.
"List all active assignments in Beeline."
"Search for open requisitions matching 'React'."
"Show me recent timesheets that need review."
Troubleshooting Beeline MCP Server with Vercel AI SDK
Common issues when connecting Beeline to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBeeline + Vercel AI SDK FAQ
Common questions about integrating Beeline MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Beeline with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Beeline to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.