Typefully MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Create Draft, Delete Draft, Get Draft Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Typefully through 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 App Connector for Vercel AI SDK
The Typefully app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Typefully, 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 Typefully MCP Server
Connect your Typefully account to any AI agent and simplify how you draft, schedule, and publish high-engagement content for X (Twitter) and LinkedIn through natural conversation.
The Vercel AI SDK gives every Typefully 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
- Draft Management — List all your content drafts and retrieve detailed text and settings for specific ideas.
- Instant Publishing — Post content immediately to all your enabled social platforms directly via AI commands.
- Smart Scheduling — Schedule your posts for a specific time or use the 'next-free-slot' feature to optimize your queue.
- Account Directory — List all connected social sets and brands managed in your Typefully workspace.
- Draft Lifecycle — Create, update, and delete drafts programmatically to maintain your content pipeline.
- User Insights — Retrieve your profile details and verify account configurations directly from the agent.
The Typefully 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.
All 9 Typefully tools available for Vercel AI SDK
When Vercel AI SDK connects to Typefully through Vinkius, your AI agent gets direct access to every tool listed below — spanning content-scheduling, social-media-management, threads, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new content draft
Remove a draft
Get details for a draft
Get your Typefully profile
List content drafts
List connected social accounts
Publish content right now
Schedule content for later
Modify an existing draft
Connect Typefully to Vercel AI SDK via MCP
Follow these steps to wire Typefully into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Typefully MCP Server
Vercel AI SDK provides unique advantages when paired with Typefully 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 Typefully integration everywhere
Built-in streaming UI primitives let you display Typefully 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
Typefully + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Typefully MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Typefully in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Typefully tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Typefully capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Typefully through natural language queries
Example Prompts for Typefully in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Typefully immediately.
"List all my social accounts in Typefully."
"Publish this to my personal account now: 'Excited to announce our new MCP server! #AI #DevTools'"
"Show me all scheduled drafts for the 'Company News' account."
Troubleshooting Typefully MCP Server with Vercel AI SDK
Common issues when connecting Typefully to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTypefully + Vercel AI SDK FAQ
Common questions about integrating Typefully 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.