2,500+ MCP servers ready to use
Vinkius

Productive MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Productive 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 Productive, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Productive
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 Productive MCP Server

Connect your Productive account to any AI agent and bring your agency management data directly into your conversation workflow.

The Vercel AI SDK gives every Productive 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

  • Projects & Budgets — List all active projects, retrieve detailed project data, and dive deep into financial budgets to monitor burn rates
  • Time Tracking & Tasks — Audit logged time entries across your team and track task progress on any board instantly
  • Sales & CRM — List all open deals, review the sales pipeline, and access full company/client databases without switching tabs
  • Financials — Access all generated invoices and their payment statuses to keep cash flow in check
  • People & Activity — Track recent activities, team availability, and audit logs to see exactly what's moving in your agency

The Productive 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 Productive to Vercel AI SDK via MCP

Follow these steps to integrate the Productive 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 12 tools from Productive and passes them to the LLM

Why Use Vercel AI SDK with the Productive MCP Server

Vercel AI SDK provides unique advantages when paired with Productive 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 Productive integration everywhere

03

Built-in streaming UI primitives let you display Productive 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

Productive + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Productive MCP Tools for Vercel AI SDK (12)

These 12 tools become available when you connect Productive to Vercel AI SDK via MCP:

01

get_project

Retrieves details for a single project by ID

02

list_activities

Lists recent activities and audit logs

03

list_boards

Lists all task boards

04

list_budgets

Lists all project budgets

05

list_companies

Lists all companies (clients and partners) in the CRM

06

list_deals

Lists all sales deals and their current stages

07

list_invoices

Lists all generated invoices and their payment status

08

list_people

Lists all people, including employees and external contacts

09

list_projects

Ideal for scoping agency workload. Lists all active and archived projects in Productive

10

list_services

Use this to check billable items. Lists all services defined in the organization

11

list_tasks

Lists all tasks across the organization

12

list_time_entries

Lists time entries logged by the team

Example Prompts for Productive in Vercel AI SDK

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

01

"Analyze our active budgets and find any approaching their limit."

02

"Show me unpaid invoices from last month."

03

"What did the development team log time on today?"

Troubleshooting Productive MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Productive + Vercel AI SDK FAQ

Common questions about integrating Productive 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 Productive to Vercel AI SDK

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.