How to Use the GitScrum ClientFlow MCP in Vercel AI SDK

Stream real-time project data directly into your interface with Vercel AI SDK and the GitScrum ClientFlow MCP Server.

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Connect GitScrum ClientFlow MCP to Vercel AI SDK

Create your Vinkius account to connect GitScrum ClientFlow to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup GitScrum ClientFlow with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Live Dashboard Metrics

Feed project health directly into your UI components using `clientflow_dashboard`. This tool removes the need for polling endpoints by pushing status updates straight to your frontend. You get immediate visibility into project status without custom API wrappers. Your users see accurate data as it happens.

Instant Invoice Generation

Trigger `create_invoice` within your chat streams to generate billing documents on the fly. You pass the invoice data as JSON strings to build itemized records without switching browser tabs. This keeps the billing flow inside your application logic. Your agent handles the heavy lifting while your UI reflects the outcome instantly.

Automated Time Tracking

Use `log_time` to record billable hours from within your chat interface. The data flows from your agent to the backend as soon as the user confirms the task completion. Your application state stays consistent with your project records. You stop worrying about manual entry and let the agent sync your tracked time automatically.

Setup guide

Set up GitScrum ClientFlow MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all GitScrum ClientFlow tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent GitScrum ClientFlow transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GitScrum. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about GitScrum ClientFlow MCP in Vercel AI SDK

Install the MCP client packages and initialize the connection using your Vinkius endpoint URL. You then pass the registered tools directly into your generateText calls to enable agent-driven data access.

Yes, the server transmits tool results through the stream as they finish. Your UI components update immediately upon receiving the data packet.

The server uses token-based authentication for every request. You manage access via your Vinkius dashboard to ensure your agents only touch authorized project data.

The MCP protocol returns a standard error object that you can catch in your code. You can then trigger a retry or prompt the user for corrected input.

Only the data explicitly requested by your tool calls is exposed. The server handles client names, invoice records, and time logs securely within the isolated sandbox.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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