Magicplan 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 Magicplan through the 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 Magicplan, 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 Magicplan MCP Server
Connect your Magicplan workspace to any AI agent to automate your architectural and estimation workflows. This MCP server enables your agent to interact with floor plans, retrieve precise spatial measurements, and access detailed financial estimates directly from natural language interfaces.
The Vercel AI SDK gives every Magicplan tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Project Oversight — List all architectural projects and retrieve detailed metadata and status updates
- Spatial Intelligence — Access full floor plan spatial data including floors, rooms, and individual object placements
- Precise Measurements — Retrieve numeric statistics such as area, perimeter, and volume for any plan or specific room
- Estimation Audit — Access comprehensive financial breakdowns including labor, materials, taxes, and itemized positions
- User Management — List collaborators and manage workspace access across your architectural teams
- Data Collection — Query inspection forms and survey data attached directly to your floor plans
The Magicplan 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 Magicplan to Vercel AI SDK via MCP
Follow these steps to integrate the Magicplan 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 Magicplan and passes them to the LLM
Why Use Vercel AI SDK with the Magicplan MCP Server
Vercel AI SDK provides unique advantages when paired with Magicplan 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 Magicplan integration everywhere
Built-in streaming UI primitives let you display Magicplan 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
Magicplan + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Magicplan MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Magicplan in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Magicplan tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Magicplan capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Magicplan through natural language queries
Magicplan MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Magicplan to Vercel AI SDK via MCP:
get_estimate_details
Get full financial breakdown for an estimate
get_plan_form_data
Retrieve forms attached to a specific plan
get_plan_measurements
Get numeric measurements for a plan
get_project_details
Get metadata for a specific project
get_project_floor_plan
Get full spatial data for a project
get_workspace_info
Get configuration for the current workspace
list_available_forms
List all data collection forms (checklists)
list_magicplan_projects
List all floor plan projects
list_project_estimates
List all financial estimates for a project
list_workspace_users
List all users in the Magicplan workspace
Example Prompts for Magicplan in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Magicplan immediately.
"List all architectural projects in my Magicplan workspace."
"Show the floor plan measurements for project ID '123'."
"Get the financial breakdown for estimate 'est-987' in project '456'."
Troubleshooting Magicplan MCP Server with Vercel AI SDK
Common issues when connecting Magicplan to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMagicplan + Vercel AI SDK FAQ
Common questions about integrating Magicplan 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 Magicplan 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 Magicplan to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.