How to Use the GetStream MCP in Mastra AI

Q: How does Mastra AI manage batch follow operations on GetStream?

Mastra AI can group multiple follow requests and execute batchfollow as a single workflow step, reducing API roundtrips and keeping your processes efficient.

Q: Can I use Mastra AI to scrape Open Graph data for GetStream?

Yes. Your Mastra AI workflows can call getopengraph to extract metadata from shared links, then format and write that data directly to your feeds.

Build resilient, automated social workflows with Mastra AI and GetStream feeds.

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Connect GetStream MCP to Mastra AI

Create your Vinkius account to connect GetStream to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup GetStream with Mastra AI

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Build Resilient Feeds with Mastra AI

Mastra AI excels at handling multi-step workflows that require strict error recovery. If a user posts an activity, your Mastra agent can run `add_activity_to_feed` and automatically retry with backoff if the network hiccups. You can set up conditional branches where a post failure triggers a fallback or alerts an admin, ensuring your GetStream data stays consistent without manual intervention.

Sync Collections with Mastra AI Workflows

Managing e-commerce or product collections requires keeping your local database and social feeds in perfect alignment. Use `batch_post_collections` and `add_to_collection` inside a Mastra AI workflow to sync catalog items automatically. If an item gets deleted, Mastra AI triggers `batch_delete_collections` to clean up the GetStream index, preventing dead links in your user feeds.

Process Media via Mastra AI and MCP Server

Raw user uploads can break your feed layouts if they aren't optimized. Your Mastra AI agent can intercept file uploads, run `upload_file` or `upload_image`, and then use `process_image` to generate clean thumbnails before they hit the feed. This MCP Server setup ensures that your media pipeline is fully automated, handling everything from upload to resizing in a single, resilient Mastra workflow step.

Setup guide

Set up GetStream MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All GetStream tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "getstream-mcp-client",
  servers: {
    "getstream-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "GetStream Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to GetStream tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent GetStream transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GetStream. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about GetStream MCP in Mastra AI

Instantiate the client with the Vinkius server URL and register it in your Mastra agent config. The agent will automatically discover tools like `add_activity_to_feed`.

Yes. You can configure Mastra AI to require manual approval before executing destructive tools like `remove_activity_from_feed` or `unfollow_feed`.

Mastra AI can group multiple follow requests and execute `batch_follow` as a single workflow step, reducing API roundtrips and keeping your processes efficient.

Yes. Your Mastra AI workflows can call `get_open_graph` to extract metadata from shared links, then format and write that data directly to your feeds.

Your follower lists and collection metadata are never stored or logged by Mastra AI. All transactions are securely routed through Vinkius's isolated, zero-trust gateway to ensure absolute data privacy.

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