Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) through the 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 Lindy (Autonomous AI Employees), 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 Lindy (Autonomous AI Employees) MCP Server
Connect your Lindy.ai account to any AI agent and take full control of your autonomous AI workforce and automated business processes through natural conversation.
The Vercel AI SDK gives every Lindy (Autonomous AI Employees) 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
- Lindy Orchestration — List all custom autonomous assistants (Lindies) built in your workspace and retrieve their core configurations and prompt instructions directly from your agent
- Task Execution — Trigger specific Lindies to start asynchronous task runs using dynamic JSON payloads to automate complex business workflows
- Reasoning Audit — Dump literal LLM reasoning logs for specific run loops to understand how your autonomous agents are making decisions and identifying steps
- Run Monitoring — Track the state of active executions and manage lifecycle controls, including the ability to cancel runs stuck in context loops securely
- Integration Visibility — Enumerate secure connections to third-party apps like Slack, Gmail, and CRM systems to manage your AI's reach across your software stack
- Workspace Management — Navigate organizational boundaries and team structures to understand how Lindies are distributed across your company
The Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) to Vercel AI SDK via MCP
Follow these steps to integrate the Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) and passes them to the LLM
Why Use Vercel AI SDK with the Lindy (Autonomous AI Employees) MCP Server
Vercel AI SDK provides unique advantages when paired with Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) integration everywhere
Built-in streaming UI primitives let you display Lindy (Autonomous AI Employees) 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
Lindy (Autonomous AI Employees) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Lindy (Autonomous AI Employees) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Lindy (Autonomous AI Employees) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Lindy (Autonomous AI Employees) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Lindy (Autonomous AI Employees) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Lindy (Autonomous AI Employees) through natural language queries
Lindy (Autonomous AI Employees) MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Lindy (Autonomous AI Employees) to Vercel AI SDK via MCP:
cancel_run
Cancel a running execution dispatching hard stops interrupting trapped context loops
get_lindy
Get configuration mappings including standard tools and prompts for a specific Lindy
get_run
Get specific state for a Run blocking on Human input or External APIs
get_run_logs
Dump literal LLM reasoning logs isolating a specific run loop
list_integrations
List bounded third-party app connections securely connected (e.g Slack, Gmail)
list_lindies
List all custom autonomous AI Assistants (Lindies) built on the workspace
list_runs
List recent runs validating the full execution graph isolating active Lindy instances
list_triggers
List how autonomous AI agents are woken up (Cron, Webhook, API)
list_workspaces
List all explicit organizational boundaries structuring isolated Teams
trigger_lindy
Trigger a Lindy to start an asynchronous task run parsing a JSON payload
Example Prompts for Lindy (Autonomous AI Employees) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Lindy (Autonomous AI Employees) immediately.
"List all active Lindies in my workspace"
"Show me the reasoning logs for the last run of 'Sales-Research-Lindy'"
"What triggers are currently configured for our autonomous agents?"
Troubleshooting Lindy (Autonomous AI Employees) MCP Server with Vercel AI SDK
Common issues when connecting Lindy (Autonomous AI Employees) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLindy (Autonomous AI Employees) + Vercel AI SDK FAQ
Common questions about integrating Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.