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How to Use the Bluesky Social MCP in Vercel AI SDK

Build React apps that stream Bluesky feeds and post updates in real-time with the Vercel AI SDK.

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Vercel AI SDK

Connect Bluesky Social MCP to Vercel AI SDK

Create your Vinkius account to connect Bluesky Social to Vercel AI SDK 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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Stream Bluesky timelines directly to your Next.js frontend.

The `list_timeline` tool lets your Vercel AI SDK app grab home feeds and stream them directly into your UI. Stop making your users stare at spinner icons while fetching social data from the AT Protocol. This integration lets your app grab home feeds using `list_timeline` and immediately stream the raw text and metadata right into your React components. If a user wants to find new voices, the MCP Server can call `search_profiles` to find accounts and display them on the fly. You get a fast, responsive interface without writing complex state management or custom API endpoints on your backend.

Post and interact with Bluesky without page reloads.

Publishing updates to the AT Protocol is handled by the `create_post` tool within your streaming chat interface. Let your users publish updates directly from your chat interface. By passing the tools to `streamText`, your agent can draft a reply and immediately fire `create_post` to publish it. The user sees the confirmation card pop up instantly in the chat stream. The same flow handles social graph actions. If your user likes what they see, the agent invokes `follow_user` or clears up their feed with `mute_user`, keeping the live UI perfectly in sync with their actual Bluesky account state.

Deploy edge functions that track notifications.

The `list_notifications` tool allows your edge functions to monitor decentralized social interactions with minimal latency. Run your social monitoring tools on Vercel's edge network without cold-start delays. The SDK connects to the MCP Server over lightweight HTTP, letting you run cron jobs or middleware that trigger `list_notifications` to check for new interactions. Because you can pass an `authProvider` to handle user credentials dynamically, your edge functions can manage multiple Bluesky accounts safely. It keeps your serverless execution times low while maintaining a persistent connection to the decentralized web.

Setup guide

Set up Bluesky Social MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Bluesky Social tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Bluesky Social transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bluesky Social. 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 Bluesky Social MCP in Vercel AI SDK

You use the `authProvider` option inside `createMCPClient` to supply individual user session tokens dynamically. This allows your app to route calls like `create_post` or `list_timeline` to the correct AT Protocol account on behalf of whoever is logged into your Next.js app.
Yes. When you pass `mcpClient.tools()` to `streamText`, your agent can decide to run `list_timeline` or `get_user_posts`. The tool output streams directly into the model context, allowing the agent to format the feed in real-time for your UI.
Always call `mcpClient.close()` once your streaming operation is finished. This is especially important in serverless or Edge environments to prevent hanging HTTP connections and keep your memory footprint small.
This specific server is optimized for text interactions and metadata. You can use `create_post` to publish text and links, search profiles with `search_profiles`, or manage lists, but heavy media blob processing should be handled directly via the AT Protocol SDK before posting.
Your Bluesky app passwords and session tokens are never stored on Vinkius. They are processed in memory within an ephemeral, zero-trust V8 sandbox and sent directly to the AT Protocol endpoints, ensuring your account credentials remain completely private.

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