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

main();
GitScrum ClientFlow
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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 GitScrum ClientFlow MCP Server

What you can do

  • Client management — list, inspect, and create client records with contact details and project history
  • Invoice generation — create and review invoices linked to client accounts with line items and totals
  • Proposal drafting — browse existing proposals and their approval statuses for any client
  • Budget monitoring — check project budget consumption and remaining allocations in real-time
  • Dashboard insights — access the ClientFlow dashboard for a consolidated view of revenue and client activity
  • Time billing — list and log time entries on tasks for accurate client billing

The Vercel AI SDK gives every GitScrum ClientFlow 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.

The GitScrum ClientFlow 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 GitScrum ClientFlow to Vercel AI SDK via MCP

Follow these steps to integrate the GitScrum ClientFlow 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 GitScrum ClientFlow and passes them to the LLM

Why Use Vercel AI SDK with the GitScrum ClientFlow MCP Server

Vercel AI SDK provides unique advantages when paired with GitScrum ClientFlow 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 GitScrum ClientFlow integration everywhere

03

Built-in streaming UI primitives let you display GitScrum ClientFlow 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

GitScrum ClientFlow + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

GitScrum ClientFlow MCP Tools for Vercel AI SDK (12)

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

01

clientflow_dashboard

Get ClientFlow dashboard overview

02

create_client

Create a new client

03

create_invoice

Pass additional fields as JSON in the body parameter. Create an invoice for a client

04

get_client

Get client details

05

get_invoice

Get invoice details

06

get_proposal

Get proposal details

07

list_clients

List all clients

08

list_invoices

List all invoices

09

list_proposals

List all proposals

10

list_time_entries

List time tracking entries

11

log_time

Log time on a task

12

project_budget

Get project budget

Example Prompts for GitScrum ClientFlow in Vercel AI SDK

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

01

"List all our clients on GitScrum."

02

"Show me the ClientFlow dashboard overview."

03

"Create a new client 'Acme Corp' with email billing@acme.com."

Troubleshooting GitScrum ClientFlow MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

GitScrum ClientFlow + Vercel AI SDK FAQ

Common questions about integrating GitScrum ClientFlow 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 GitScrum ClientFlow to Vercel AI SDK

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