2,500+ MCP servers ready to use
Vinkius

ProofHub MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ProofHub through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 ProofHub, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
ProofHub
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ProofHub MCP Server

Connect your ProofHub domain to any AI agent to streamline project management and team collaboration directly from your workflow.

The Vercel AI SDK gives every ProofHub 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

  • Project Overviews — Retrieve all active projects, detailed metadata, and overarching status instantly
  • Task & To-do Management — Fetch to-do lists, see assigned tasks, and even create new work items on the fly
  • Team Collaboration — Read project discussions, track newly uploaded files, and access shared notebooks and documentation
  • Resource Management — List all team members, check active statuses, and audit logged hours and productivity via timesheets

The ProofHub 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 ProofHub to Vercel AI SDK via MCP

Follow these steps to integrate the ProofHub MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from ProofHub and passes them to the LLM

Why Use Vercel AI SDK with the ProofHub MCP Server

Vercel AI SDK provides unique advantages when paired with ProofHub through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same ProofHub integration everywhere

03

Built-in streaming UI primitives let you display ProofHub tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

ProofHub + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the ProofHub MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query ProofHub in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate ProofHub tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed ProofHub capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with ProofHub through natural language queries

ProofHub MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect ProofHub to Vercel AI SDK via MCP:

01

create_task

You must provide a valid project ID and todolist ID. Creates a new task in a ProofHub to-do list

02

get_project

Retrieves full details of a ProofHub project

03

list_discussions

Lists all discussions (topics) in a ProofHub project

04

list_files

Lists all files uploaded to a ProofHub project

05

list_notes

Lists all notes/notebooks in a ProofHub project

06

list_people

Lists all team members in ProofHub

07

list_projects

ProofHub is a collaboration tool with tasks, discussions, and files. Lists all projects in ProofHub

08

list_tasks

Lists all tasks in a ProofHub to-do list

09

list_timesheets

Lists all timesheet entries for a project

10

list_todolists

Use this to find the correct list ID before querying or creating tasks. Lists all to-do lists within a ProofHub project

Example Prompts for ProofHub in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ProofHub immediately.

01

"List all active projects on ProofHub right now."

02

"Check the to-do list for 'Website Overhaul' and show what's pending."

03

"Create a task in project 105 (todolist 201) to 'Test checkout flow'."

Troubleshooting ProofHub MCP Server with Vercel AI SDK

Common issues when connecting ProofHub to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

ProofHub + Vercel AI SDK FAQ

Common questions about integrating ProofHub MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect ProofHub to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.