Kippy MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 13 tools to List Annual Scores, List Appraisals, List Audit Logs, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Kippy through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Kippy MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 13 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Kippy, 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 Kippy MCP Server
Connect your Kippy account to any AI agent and manage performance tracking through natural conversation.
The Vercel AI SDK gives every Kippy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 13 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
- OKR Tracking — Browse objectives and key results with progress percentages
- Goal Management — Create, update, and track individual and team goals
- Performance Reviews — Access review cycles, feedback, and ratings
- Team Monitoring — Track team performance metrics and alignment
- Progress Reports — Generate performance summaries and trend analysis
The Kippy MCP Server exposes 13 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 13 Kippy tools available for Vercel AI SDK
When Vercel AI SDK connects to Kippy through Vinkius, your AI agent gets direct access to every tool listed below — spanning okr-tracking, performance-management, goal-setting, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
List annual scores on Kippy
List annual performance metrics
List appraisals on Kippy
List performance reviews and appraisals
List audit logs on Kippy
List system audit logs
List competencies on Kippy
List skills and competency tracking
List feedback on Kippy
List feedback entries
List kpi scores on Kippy
List KPIs with their current scores
List kpis on Kippy
List all KPIs for the organization
List notes on Kippy
List comments and annotations
List project scores on Kippy
List projects with their current scores
List projects on Kippy
List organizational projects
List team scores on Kippy
List team performance scores
List teams on Kippy
List teams in the organization
List users on Kippy
List users in Kippy
Connect Kippy to Vercel AI SDK via MCP
Follow these steps to wire Kippy into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Kippy MCP Server
Vercel AI SDK provides unique advantages when paired with Kippy 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 Kippy integration everywhere
Built-in streaming UI primitives let you display Kippy 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
Kippy + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Kippy MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Kippy in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Kippy tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Kippy capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Kippy through natural language queries
Example Prompts for Kippy in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Kippy immediately.
"Show all OKRs for Q2 and the team members falling behind."
"Show the latest performance review cycle and ratings."
"Create a new goal for the Engineering team and track alignment."
Troubleshooting Kippy MCP Server with Vercel AI SDK
Common issues when connecting Kippy to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKippy + Vercel AI SDK FAQ
Common questions about integrating Kippy 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.Explore More MCP Servers
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