How to Use the AppsFlyer (Pull API) MCP in Vercel AI SDK

Q: How does the model know if the AppsFlyer connection is valid?

The application calls getaccountcheck before attempting large data pulls. This confirms the API token works before executing heavy queries.

Stream live AppsFlyer (Pull API) attribution metrics directly into your React components with Vercel AI SDK.

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Connect AppsFlyer (Pull API) MCP to Vercel AI SDK

Create your Vinkius account to connect AppsFlyer (Pull API) 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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Setup AppsFlyer (Pull API) with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Render Live Campaign Metrics

Connecting `get_daily_report` means daily aggregate performance figures stream into the interface while the model processes them. End users stop waiting for static dashboards to load. Calling `get_geo_report` lets your agent push geographic attribution summaries straight to the client without dropping a frame. You avoid writing complex state management logic to show where traffic originates.

Raw Event Feeds via MCP Server

Exposing `get_in_app_events_report` through this MCP Server gives the frontend access to the exact raw data trail triggered by active users. Sometimes aggregates hide the real story behind user acquisition. Executing `get_installs_report` fetches non-organic install records so your application renders acquisition timelines live. Developers can track the top of the funnel instantly.

Analyze Media Source Quality

Supplying your agent with `get_partners_report` pulls aggregate statistics broken down by media source. Media buyers demand immediate visibility into which ad networks actually drive retention. The `get_uninstalls_report` endpoint feeds direct uninstall logs back to your application, mapping drop-offs against specific partner campaigns. Tracking churn happens just as fast as tracking acquisition.

Setup guide

Set up AppsFlyer (Pull API) 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all AppsFlyer (Pull API) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 AppsFlyer (Pull API) transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AppsFlyer. 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 AppsFlyer (Pull API) MCP in Vercel AI SDK

Install the @ai-sdk/mcp package via npm. Initialize the connection using createMCPClient with your Vinkius HTTP transport URL.

Yes. When the model invokes the geo tool, the SDK streams the resulting JSON chunk by chunk. Your React frontend renders the map points as they arrive.

The application calls get_account_check before attempting large data pulls. This confirms the API token works before executing heavy queries.

The Pull API has specific rate limits and data volume caps. You should handle pagination and timeouts on the server side before streaming results to the client.

Raw install records and in-app event logs never touch a persistent disk. Vinkius runs the integration inside a V8 Isolate Sandbox that destroys itself the moment the connection closes.

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