Planhat 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 Planhat 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 Planhat, 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 Planhat MCP Server
Connect your Planhat workspace to any AI agent and take full control of your customer success and growth workflows through natural conversation.
The Vercel AI SDK gives every Planhat tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Company Oversight — List all companies and retrieve detailed metadata to manage your customer relationships.
- User & Contact Tracking — List end users and associated metadata to understand your user base.
- Task & Activity Management — List pending tasks and monitor activities to ensure proactive customer management.
- Conversation Discovery — List all ongoing conversations to maintain a pulse on customer communication.
- License & Asset Auditing — List configured licenses and assets to verify customer entitlements.
- Project Monitoring — List active projects to track implementation and success plans.
The Planhat 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 Planhat to Vercel AI SDK via MCP
Follow these steps to integrate the Planhat 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 Planhat and passes them to the LLM
Why Use Vercel AI SDK with the Planhat MCP Server
Vercel AI SDK provides unique advantages when paired with Planhat 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 Planhat integration everywhere
Built-in streaming UI primitives let you display Planhat 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
Planhat + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Planhat MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Planhat in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Planhat tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Planhat capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Planhat through natural language queries
Planhat MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Planhat to Vercel AI SDK via MCP:
get_planhat_company
Get details for a specific company
get_planhat_me
Get current user info
list_planhat_assets
List all assets
list_planhat_companies
List all companies in Planhat
list_planhat_conversations
List all conversations
list_planhat_end_users
List all end users
list_planhat_licenses
List all licenses
list_planhat_notes
List all notes
list_planhat_projects
List all projects
list_planhat_tasks
List all tasks
Example Prompts for Planhat in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Planhat immediately.
"List all active companies in my Planhat account."
"Show me the last 5 tasks assigned to me in Planhat."
"What are the active licenses for company 'Acme Corp'?"
Troubleshooting Planhat MCP Server with Vercel AI SDK
Common issues when connecting Planhat to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPlanhat + Vercel AI SDK FAQ
Common questions about integrating Planhat 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 Planhat 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 Planhat to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.