Float MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Float 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 Float, 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 Float MCP Server
Connect your Float account to any AI agent and automate your resource management and team scheduling through the Model Context Protocol (MCP). Float is the leading resource planning platform that helps agencies and teams keep track of who is working on what and when. Now, you can manage allocations, check availability, and oversee project timelines directly through natural conversation.
The Vercel AI SDK gives every Float tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Team Scheduling — List all team members and fetch detailed availability and profile metadata.
- Project Oversight — Access active projects, retrieve specific project details, and manage the team members assigned to them.
- Task Allocations — Create and list project allocations, assigning specific hours and dates to team members instantly.
- Time Off Management — Monitor scheduled vacations, sick leave, and public holidays to ensure accurate capacity planning.
- Logged Time Analysis — Retrieve actual hours worked versus scheduled time to track project progress and efficiency.
- Organization Discovery — List clients, departments, and account users to maintain full context of your agency's structure.
- Capacity Planning — Fetch high-level snapshots of team utilization and task labels (e.g., Design, Development).
The Float MCP Server exposes 12 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 Float to Vercel AI SDK via MCP
Follow these steps to integrate the Float 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 12 tools from Float and passes them to the LLM
Why Use Vercel AI SDK with the Float MCP Server
Vercel AI SDK provides unique advantages when paired with Float 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 Float integration everywhere
Built-in streaming UI primitives let you display Float 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
Float + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Float MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Float in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Float tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Float capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Float through natural language queries
Float MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Float to Vercel AI SDK via MCP:
create_allocation
Schedule a task
get_logged_time
Get actual hours
get_person
Get person details
get_project
Get project details
list_allocations
List task allocations
list_clients
List clients
list_departments
List departments
list_people
List team members
list_project_task_names
g. Design, Dev). List task labels
list_projects
List projects
list_time_offs
List time off
list_user_accounts
List user accounts
Example Prompts for Float in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Float immediately.
"List all active projects in Float and the team members assigned to them."
"Schedule John Doe for 4 hours a day on the 'Q3 Marketing' project from Monday to Friday."
"Who is scheduled for time off this month?"
Troubleshooting Float MCP Server with Vercel AI SDK
Common issues when connecting Float to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFloat + Vercel AI SDK FAQ
Common questions about integrating Float 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 Float 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 Float to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.