GitScrum Sprints MCP Server for Vercel AI SDK 15 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect GitScrum Sprints 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 GitScrum Sprints, 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 GitScrum Sprints MCP Server
What you can do
- Sprint lifecycle — create, update, delete, and inspect sprints with precise date ranges and configurations
- Performance analytics — access sprint KPIs, detailed statistics, progress tracking, and velocity metrics in real-time
- Visual reports — retrieve burndown, burnup, performance, and distribution chart data for any sprint
- Backlog management — list and create user stories, browse epics, and view tasks filtered by sprint
- Cross-workspace visibility — list sprints across all workspaces for portfolio-level oversight
The Vercel AI SDK gives every GitScrum Sprints tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 15 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 Sprints MCP Server exposes 15 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 Sprints to Vercel AI SDK via MCP
Follow these steps to integrate the GitScrum Sprints 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 15 tools from GitScrum Sprints and passes them to the LLM
Why Use Vercel AI SDK with the GitScrum Sprints MCP Server
Vercel AI SDK provides unique advantages when paired with GitScrum Sprints 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 GitScrum Sprints integration everywhere
Built-in streaming UI primitives let you display GitScrum Sprints 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
GitScrum Sprints + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the GitScrum Sprints MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query GitScrum Sprints in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate GitScrum Sprints tools and return structured JSON responses to any frontend
Chatbots with tool use: embed GitScrum Sprints capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with GitScrum Sprints through natural language queries
GitScrum Sprints MCP Tools for Vercel AI SDK (15)
These 15 tools become available when you connect GitScrum Sprints to Vercel AI SDK via MCP:
all_sprints
List sprints across all workspaces
create_sprint
Create a new sprint
create_user_story
Create a user story
get_sprint
Get sprint details
get_task
Get task details by UUID
list_epics
List epics in a project
list_sprints
List sprints in a project
list_tasks
Use the sprint_slug filter to see only tasks belonging to a specific sprint. Filter by status (todo, in-progress, done). List tasks in a project, optionally filtered by sprint
list_user_stories
List user stories in a project
sprint_kpis
Get sprint KPIs
sprint_metrics
Get detailed sprint metrics
sprint_progress
Get current sprint progress
sprint_reports
Resource: burndown, burnup, performance, types, efforts, member_distribution, task, type_distribution. Get sprint reports with charts
sprint_stats
Get sprint statistics
update_sprint
Update an existing sprint
Example Prompts for GitScrum Sprints in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GitScrum Sprints immediately.
"What's the progress of our current sprint in the web-app project?"
"Create a new sprint 'Sprint 15 — Payments' from April 14 to April 28."
"Show me the velocity metrics for the last completed sprint."
Troubleshooting GitScrum Sprints MCP Server with Vercel AI SDK
Common issues when connecting GitScrum Sprints to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGitScrum Sprints + Vercel AI SDK FAQ
Common questions about integrating GitScrum Sprints 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 GitScrum Sprints 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 GitScrum Sprints to Vercel AI SDK
Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.