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GetStream MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 23 tools to Add Activity To Feed, Add To Collection, Batch Delete Collections, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect GetStream 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 MCP Server for Vercel AI SDK

The GetStream MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 23 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
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 GetStream, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
GetStream
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 GetStream MCP Server

Connect GetStream to your AI agent to orchestrate complex social architectures and activity feeds using natural language.

The Vercel AI SDK gives every GetStream tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 23 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

  • Feed Management — Retrieve, add, or remove activities from specific feed slugs and user timelines using get_feed and add_activity_to_feed.
  • Activity Orchestration — Update activity metadata or perform partial updates to specific fields via partial_update_activity without rewriting entire objects.
  • Social Graph — Manage follower relationships, list who follows a feed, and perform follow operations using follow_feed and list_feed_followers.
  • Collections & Files — Handle collection objects and manage file/image uploads for rich media experiences.
  • Open Graph — Retrieve Open Graph data for URLs to enrich activity content automatically.

The GetStream MCP Server exposes 23 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 23 GetStream tools available for Vercel AI SDK

When Vercel AI SDK connects to GetStream through Vinkius, your AI agent gets direct access to every tool listed below — spanning activity-feeds, chat-api, social-infrastructure, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add activity to feed on GetStream

Add an activity to a feed

add

Add to collection on GetStream

Add objects to a collection

batch

Batch delete collections on GetStream

Batch delete collections

batch

Batch follow on GetStream

Batch follow multiple feeds

batch

Batch get collections on GetStream

Batch retrieve collections

batch

Batch post collections on GetStream

Batch create/update collections

delete

Delete collection object on GetStream

Delete an individual collection object

delete

Delete file on GetStream

Delete a file by URL

follow

Follow feed on GetStream

Follow a target feed

get

Get activities on GetStream

Retrieve specific activities by ID or foreign ID

get

Get collection object on GetStream

Retrieve an individual collection object

get

Get feed on GetStream

Supports pagination. Retrieve activities in a feed

get

Get open graph on GetStream

Scrape Open Graph data from a URL

list

List feed followers on GetStream

List feeds following this feed

list

List feed follows on GetStream

List feeds this feed follows

partial

Partial update activity on GetStream

Partially update activity data

process

Process image on GetStream

Process or resize an image

remove

Remove activity from feed on GetStream

Remove an activity from a feed

unfollow

Unfollow feed on GetStream

Unfollow a target feed

update

Update activities on GetStream

Update activity metadata

update

Update collection object on GetStream

Update an individual collection object

upload

Upload file on GetStream

Upload a file

upload

Upload image on GetStream

Upload an image

Connect GetStream to Vercel AI SDK via MCP

Follow these steps to wire GetStream into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 23 tools from GetStream and passes them to the LLM

Why Use Vercel AI SDK with the GetStream MCP Server

Vercel AI SDK provides unique advantages when paired with GetStream through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same GetStream integration everywhere

03

Built-in streaming UI primitives let you display GetStream tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

GetStream + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the GetStream MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query GetStream in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate GetStream tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed GetStream capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with GetStream through natural language queries

Example Prompts for GetStream in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GetStream immediately.

01

"Show me the latest activities in the 'user' feed for user ID 'user_123'."

02

"Make the feed 'timeline:alice' follow 'user:bob'."

03

"Update activity ID 'act_999' to set the 'is_featured' field to true."

Troubleshooting GetStream MCP Server with Vercel AI SDK

Common issues when connecting GetStream to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

GetStream + Vercel AI SDK FAQ

Common questions about integrating GetStream MCP Server with Vercel AI SDK.

01

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.
02

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.
03

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.

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