How to Use the Affinity MCP in Vercel AI SDK

Q: How do I connect the Affinity MCP Server to Vercel AI SDK?

Install @ai-sdk/mcp and set up the MCP client using createMCPClient with your Vinkius HTTP endpoint. Pass the tools directly into streamText and call mcpClient.close() when the execution finishes.

Q: Can I stream Affinity list entries with Vercel AI SDK?

Yes. Your agent calls listlistentries to get the people or organizations on a specific smart list, and the SDK streams these records straight to your UI components.

Q: How does Vercel AI SDK handle paginated Affinity contacts?

The SDK invokes listpersons to get paginated batches of contacts. Your agent reads the pagination tokens and requests subsequent pages as the user scrolls or requests more data.

Render real-time relationship intelligence directly into your React frontend with Vercel AI SDK and the Affinity MCP Server.

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Connect Affinity MCP to Vercel AI SDK

Create your Vinkius account to connect Affinity 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 Affinity with Vercel AI SDK

Ask AI about this MCP

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Stream live pipeline updates in Vercel AI SDK

The `list_smart_lists` tool fetches your active deal pipelines and custom views directly into your application context. Your React frontend renders these pipelines as they load, so users don't stare at empty screens. By coupling this tool with Vercel's streaming capabilities, you build interfaces that display deal stages instantly. Your agent pulls the lists and feeds them straight to the UI components without lag.

Map organization networks with this MCP Server

The `list_organizations` tool pulls company profiles and mapped institutions directly from your CRM database. Your application uses this data to map out B2B connections right inside the chat interface. Instead of waiting for a massive payload to download, the data flows chunk by chunk. Edge functions process the incoming company details and display them in clean, interactive UI blocks.

Render customer touchpoints in real time

The `list_interactions` tool pulls chronological logs of synced emails, meetings, and phone calls. This lets your agent analyze team communication history on the fly. You feed these logs to your front-end components using Vercel's streaming helpers. The user watches the timeline build out step-by-step as the agent processes the communication logs.

Setup guide

Set up Affinity 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 Affinity 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 Affinity 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 Affinity. 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

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Common questions about Affinity MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and set up the MCP client using `createMCPClient` with your Vinkius HTTP endpoint. Pass the tools directly into `streamText` and call `mcpClient.close()` when the execution finishes.

Yes. Your agent calls `list_list_entries` to get the people or organizations on a specific smart list, and the SDK streams these records straight to your UI components.

The SDK invokes `list_persons` to get paginated batches of contacts. Your agent reads the pagination tokens and requests subsequent pages as the user scrolls or requests more data.

No. Vinkius handles the underlying authentication, exposing a single secure token that your Vercel AI SDK client uses to communicate with the server.

Your synced emails, meetings, and company lists are protected inside V8 isolate sandboxes. Vinkius processes these interactions in ephemeral environments, meaning your relationship data is never stored or used for model training.

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