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How to Use the CrowdTangle MCP in Vercel AI SDK

Stream CrowdTangle data directly into your Vercel AI SDK app's UI. Your users see live social stats, not loading spinners.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect CrowdTangle MCP to Vercel AI SDK

Create your Vinkius account to connect CrowdTangle 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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Build Live Social Dashboards

Give your agent access to CrowdTangle's performance metrics. You can pull rankings with `get_account_leaderboard` or identify top content using the scoring from `get_top_performing_posts`. This is the raw data you need to build a real-time dashboard tracking social engagement. With the Vercel AI SDK, tool results stream directly into your React or Next.js components. As your agent gets the data, your UI updates piece by piece. The result is a dashboard that feels alive, with numbers and lists appearing instantly without a single loading state.

Track Link Shares with the Vercel AI SDK

Find out who is sharing a specific URL and how much traction it's getting. The `get_link_shares` tool tells you exactly which tracked accounts shared a link and the interactions each share generated. You can also cast a wider net with `search_posts_by_keyword` to find conversations around a topic. This is perfect for building user-facing tools that monitor brand mentions or track a story's viral spread. Because the AI SDK streams results, your user can watch the list of shares populate in real time, turning data discovery into a live event.

Manage Account Lists and Settings

This MCP Server also covers the administrative side of CrowdTangle. Your agent can pull all your tracked lists with `list_monitored_lists` or check your current API rate limits and workspace info using `get_account_details`. It's everything you need for building internal admin panels. Even for internal tools, the instant feedback from the Vercel AI SDK makes a difference. When you ask your agent to fetch a list, it doesn't just dump a wall of text after a delay. The list appears on screen as it's being fetched, making the interface feel fast and responsive.

Setup guide

Set up CrowdTangle 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 CrowdTangle 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 CrowdTangle 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 CrowdTangle. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about CrowdTangle MCP in Vercel AI SDK

You give your agent the `get_post_details` tool. When you provide a post ID, it will return the full engagement data, including reaction breakdowns and share history, which you can then stream into your UI.
Yes, it can. The `search_tracking_lists` tool lets your agent find specific lists by their title. This is useful for building UIs where users need to select a list before running a report.
Use the `get_account_leaderboard` tool. The Vercel AI SDK is built for this — you can stream the ranking data directly into a table or list component in your app, so it updates live as the data arrives.
The `list_media_posts` tool is what you're looking for. It returns a list of recent posts that specifically contain photos or videos, along with their media URLs and captions.
Yes, your data is isolated. Vinkius processes each tool call in an ephemeral, zero-trust sandbox that's destroyed immediately after. The server only handles post content and engagement metrics, and your auth is managed by a single Vinkius token, not stored credentials.

Start using the CrowdTangle MCP today

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