Yodiz MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Yodiz 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 Yodiz, 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 Yodiz MCP Server
Connect your Yodiz account to any AI agent and manage your agile development lifecycle through natural conversation.
The Vercel AI SDK gives every Yodiz tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Requirement Tracking — List and browse user stories within your projects to monitor requirements and backlog items
- Release Management — Browse all sprints (iterations) and retrieve sprint IDs to monitor release timelines and progress
- Defect Monitoring — List and track bugs and technical debt items for any specific project ID to ensure software quality
- Roadmap Planning — Access epics to see the macro-level roadmap and strategic business goals directly from your agent
- Project Discovery — List all agile projects and workspaces to retrieve numeric IDs for granular task management
- Team Directory — List all registered users in your workspace to find colleague IDs for task assignment and mentions
- Agile Insights — Quickly surface high-level features and iteration details required for automated project reporting
The Yodiz MCP Server exposes 6 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 Yodiz to Vercel AI SDK via MCP
Follow these steps to integrate the Yodiz 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 6 tools from Yodiz and passes them to the LLM
Why Use Vercel AI SDK with the Yodiz MCP Server
Vercel AI SDK provides unique advantages when paired with Yodiz 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 Yodiz integration everywhere
Built-in streaming UI primitives let you display Yodiz 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
Yodiz + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Yodiz MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Yodiz in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Yodiz tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Yodiz capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Yodiz through natural language queries
Yodiz MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Yodiz to Vercel AI SDK via MCP:
list_bugs
Lists bugs and issues for a specific project
list_epics
Lists epics (high-level features) for a project
list_projects
Lists all agile projects in the Yodiz account
list_sprints
Lists all sprints (iterations) for a specific project
list_user_stories
Provide the numeric project ID. Lists user stories for a specific Yodiz project
list_users
Lists all registered users in the Yodiz workspace
Example Prompts for Yodiz in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Yodiz immediately.
"List all active projects in Yodiz."
"Show me the user stories for project ID 102."
"What sprints are scheduled for project ID 101?"
Troubleshooting Yodiz MCP Server with Vercel AI SDK
Common issues when connecting Yodiz to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpYodiz + Vercel AI SDK FAQ
Common questions about integrating Yodiz 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 Yodiz 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 Yodiz to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
