Lancerkit 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 Lancerkit through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 Lancerkit, 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 Lancerkit MCP Server
Connect Lancerkit to any AI agent via MCP.
How to Connect Lancerkit to Vercel AI SDK via MCP
Follow these steps to integrate the Lancerkit 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 Lancerkit and passes them to the LLM
Why Use Vercel AI SDK with the Lancerkit MCP Server
Vercel AI SDK provides unique advantages when paired with Lancerkit 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 Lancerkit integration everywhere
Built-in streaming UI primitives let you display Lancerkit 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
Lancerkit + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Lancerkit MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Lancerkit in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Lancerkit tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Lancerkit capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Lancerkit through natural language queries
Lancerkit MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Lancerkit to Vercel AI SDK via MCP:
get_client
Retrieve specific metadata of one single client
get_invoice
Retrieve data, payments, and billings for a specific invoice string ID
get_project
Get a single project details by ID
get_status
Examine account and integration connection status overall
get_time_logs
Check the recorded time logs for hours spent
list_clients
List all clients associated with the workspace
list_invoices
Fetch global invoice pipeline statistics
list_projects
List all standard projects
list_services
Fetch all specific billable service items configured online
list_tasks
Check current working tasks
Example Prompts for Lancerkit in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Lancerkit immediately.
"Draft an invoice for the Acme Corp redesign project."
"How many billable hours have I tracked this week?"
"Create a new project named Mobile App Development for Delta Tech."
Troubleshooting Lancerkit MCP Server with Vercel AI SDK
Common issues when connecting Lancerkit to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLancerkit + Vercel AI SDK FAQ
Common questions about integrating Lancerkit 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 Lancerkit 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 Lancerkit to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.