Workvivo MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Workvivo through the 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
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 Workvivo, 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 Workvivo MCP Server
Connect your Workvivo account to any AI agent and manage your employee experience infrastructure through natural conversation.
The Vercel AI SDK gives every Workvivo tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Social Feed — Browse the company activity feed, retrieve full details for specific posts (likes, comments), and share new updates instantly
- Employee Directory — List all registered employees and retrieve comprehensive profile details including contact info and job titles
- Collaboration Spaces — Browse interest groups and departmental spaces, retrieve membership counts, and post updates to specific spaces
- Company Events — Monitor the company calendar, retrieve details for upcoming events including location and start times
- Content Insights — Quickly find unique post, employee, space, and event IDs required for automated internal communication workflows
- Team Engagement — Analyze activity levels and browse social interactions across the platform directly from your agent
- Data Integrity — Safely delete unfinalized or obsolete social posts through simple chat commands
The Workvivo MCP Server exposes 10 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 Workvivo to Vercel AI SDK via MCP
Follow these steps to integrate the Workvivo 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 10 tools from Workvivo and passes them to the LLM
Why Use Vercel AI SDK with the Workvivo MCP Server
Vercel AI SDK provides unique advantages when paired with Workvivo 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 Workvivo integration everywhere
Built-in streaming UI primitives let you display Workvivo 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
Workvivo + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Workvivo MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Workvivo in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Workvivo tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Workvivo capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Workvivo through natural language queries
Workvivo MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Workvivo to Vercel AI SDK via MCP:
create_social_post
Provide the text content and an optional space ID. Creates a new post on the Workvivo activity feed
delete_social_post
This action is irreversible. Permanently deletes a post from Workvivo
get_employee_profile
Retrieves profile details for a specific employee
get_event_details
Retrieves details for a specific calendar event
get_post_details
Retrieves details for a specific social post
get_space_details
Retrieves details for a specific collaboration space
list_collaboration_spaces
Lists collaboration spaces (groups) in Workvivo
list_company_events
Lists upcoming events scheduled in Workvivo
list_employees
Lists employees registered in the Workvivo directory
list_workvivo_posts
Lists social posts and activity on the Workvivo platform
Example Prompts for Workvivo in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Workvivo immediately.
"List the last 5 posts on the company feed."
"Find the profile for employee ID 'emp-123'."
"What are the details for the 'Town Hall' event today?"
Troubleshooting Workvivo MCP Server with Vercel AI SDK
Common issues when connecting Workvivo to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWorkvivo + Vercel AI SDK FAQ
Common questions about integrating Workvivo 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 Workvivo 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 Workvivo to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.