Bring Performance Management
to Vercel AI SDK
Create your Vinkius account to connect Lattice to Vercel AI SDK and start using all 9 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the 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.
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.
How it works
- Subscribe to this endpoint
- Enter your Lattice API token securely
- Engage your HR tools from your development environment
Who is this for?
- HR Business Partners — pull performance data effortlessly in seconds
- Team Leads — check team OKRs directly without context switching
- Engineering Managers — read feedback forms right in the IDE
Built-in capabilities (9)
Get details about a specific feedback entry
Get targeted details for a specific goal
Get details regarding a specific review cycle
Get details for a specific Lattice employee
Retrieve a list of feedback and praise instances
Retrieve a list of all OKRs & Goals
Retrieve a list of performance review cycles
Retrieve pending tasks
Retrieve a list of employees/users from Lattice
Why Vercel AI SDK?
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.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Lattice integration everywhere
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Built-in streaming UI primitives let you display Lattice tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Lattice in Vercel AI SDK
Why run Lattice with Vinkius?
The Lattice connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 9 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Lattice using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Lattice and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Lattice to Vercel AI SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Lattice for Vercel AI SDK
Every request between Vercel AI SDK and Lattice is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I authenticate?
You need a Lattice API Key configured via Admin settings, passed into the plugin's configuration.
Can I update OKRs from this server?
Currently the server is heavily optimized for reading OKRs, directories, and feedback.
Is employee personal data secure?
Yes, queries route directly from your Vurb client strictly and securely into the Lattice native endpoints. Nothing is stored intermediately.
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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