Lattice MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Lattice 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 Lattice, 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 Lattice MCP Server
Connect your AI agent directly to Lattice HR. With this server, your LLM can fetch detailed employee profiles, active OKRs, tasks, and search continuous feedback loops directly tied to the Lattice platform.
The Vercel AI SDK gives every Lattice tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Employee Directory: Fetch user metadata directly from your HRIS via Lattice.
- Goal Tracking: Query active company or individual OKRs and assess progress.
- Feedback & Praise: Monitor continuous feedback loops and recognition events.
- Review Cycles: Check past and current performance review structural data.
The Lattice MCP Server exposes 9 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 Lattice to Vercel AI SDK via MCP
Follow these steps to integrate the Lattice 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 9 tools from Lattice and passes them to the LLM
Why Use Vercel AI SDK with the Lattice MCP Server
Vercel AI SDK provides unique advantages when paired with Lattice 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 Lattice integration everywhere
Built-in streaming UI primitives let you display Lattice 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
Lattice + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Lattice MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Lattice in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Lattice tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Lattice capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Lattice through natural language queries
Lattice MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Lattice to Vercel AI SDK via MCP:
get_feedback
Get details about a specific feedback entry
get_goal
Get targeted details for a specific goal
get_review
Get details regarding a specific review cycle
get_user
Get details for a specific Lattice employee
list_feedback
Retrieve a list of feedback and praise instances
list_goals
Retrieve a list of all OKRs & Goals
list_reviews
Retrieve a list of performance review cycles
list_tasks
Retrieve pending tasks
list_users
Retrieve a list of employees/users from Lattice
Example Prompts for Lattice in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Lattice immediately.
"List all the current engineering OKRs mapped within Lattice."
"Retrieve the full team employee directory for the Marketing division."
"Who received recent public praise and continuous feedback this week?"
Troubleshooting Lattice MCP Server with Vercel AI SDK
Common issues when connecting Lattice to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLattice + Vercel AI SDK FAQ
Common questions about integrating Lattice 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 Lattice 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 Lattice to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.