LiquidPlanner Classic MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Create Project, Create Task, Get Project, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect LiquidPlanner Classic 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 App Connector for Vercel AI SDK
The LiquidPlanner Classic app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 LiquidPlanner Classic, 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 LiquidPlanner Classic MCP Server
Connect your LiquidPlanner Classic workspace to any AI agent and manage project planning through natural conversation.
The Vercel AI SDK gives every LiquidPlanner Classic 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
- Task Management — Create, update, and assign tasks with priority and estimates
- Project Tracking — Browse projects, milestones, and deliverables
- Timeline Monitoring — Track predictive schedules and deadline forecasts
- Workspace Browsing — Navigate workspace structure and team members
- Time Tracking — Access logged time and effort data
The LiquidPlanner Classic 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.
All 10 LiquidPlanner Classic tools available for Vercel AI SDK
When Vercel AI SDK connects to LiquidPlanner Classic through Vinkius, your AI agent gets direct access to every tool listed below — spanning predictive-scheduling, resource-leveling, task-dependencies, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new project in the default workspace
Requires parent_id if it should be nested under a project or folder. Create a new task in the default workspace
Get details of a specific project
Get details of a specific task
Uses the default configured workspace if no ID is provided. Get details of a specific workspace or the default workspace
List members in the default workspace
List projects in the default workspace
List tasks in the default workspace
List workspaces from LiquidPlanner Classic
Update an existing task in the default workspace
Connect LiquidPlanner Classic to Vercel AI SDK via MCP
Follow these steps to wire LiquidPlanner Classic into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the LiquidPlanner Classic MCP Server
Vercel AI SDK provides unique advantages when paired with LiquidPlanner Classic 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 LiquidPlanner Classic integration everywhere
Built-in streaming UI primitives let you display LiquidPlanner Classic 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
LiquidPlanner Classic + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the LiquidPlanner Classic MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query LiquidPlanner Classic in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate LiquidPlanner Classic tools and return structured JSON responses to any frontend
Chatbots with tool use: embed LiquidPlanner Classic capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with LiquidPlanner Classic through natural language queries
Example Prompts for LiquidPlanner Classic in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with LiquidPlanner Classic immediately.
"Show all projects and the predicted schedule for the Platform v2 project."
"Create a task and show time tracking for the team this week."
"Show workspace members and resource allocation."
Troubleshooting LiquidPlanner Classic MCP Server with Vercel AI SDK
Common issues when connecting LiquidPlanner Classic to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLiquidPlanner Classic + Vercel AI SDK FAQ
Common questions about integrating LiquidPlanner Classic 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.