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Attio MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Attio through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Attio, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Attio MCP Server

The Attio MCP Server brings powerful CRM capabilities directly to your AI agent. Seamlessly manage your relationship data, from standard objects like People and Companies to custom entities and complex record attributes using simple natural language.

The Vercel AI SDK gives every Attio tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

Key Features

  • Object Oversight — List all data objects (tables) in your workspace and retrieve detailed metadata for any specific entity.
  • Record Management — Query, create, and update records for any object, including people, companies, and deals.
  • Smart Assert (Upsert) — Use the assert_record tool to automatically create or update records based on unique matching attributes (e.g., email).
  • Attribute Intelligence — Access available fields (attributes) for any object to understand your data structure.
  • Global Search — Perform fuzzy searches across multiple objects simultaneously to find relevant records instantly.
  • Secure API Integration — Uses secure Bearer Token authentication with your Attio Personal Access Token (PAT).

The Attio MCP Server exposes 9 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Attio to Vercel AI SDK via MCP

Follow these steps to integrate the Attio MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 9 tools from Attio and passes them to the LLM

Why Use Vercel AI SDK with the Attio MCP Server

Vercel AI SDK provides unique advantages when paired with Attio through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Attio integration everywhere

03

Built-in streaming UI primitives let you display Attio tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Attio + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Attio MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Attio in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Attio tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Attio capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Attio through natural language queries

Attio MCP Tools for Vercel AI SDK (9)

These 9 tools become available when you connect Attio to Vercel AI SDK via MCP:

01

assert_record

Upsert a record (update if exists, create otherwise)

02

create_record

Create a new record in an object

03

get_account_check

Verify Attio account connection

04

get_object

Get metadata for a specific object

05

get_record

Retrieve a specific record by ID

06

list_attributes

List all attributes (columns) for a specific object

07

list_objects

List all objects (tables) in the Attio workspace

08

query_records

Query and filter records for a specific object

09

search_records

Global fuzzy search across all objects (Beta)

Example Prompts for Attio in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Attio immediately.

01

"Search for any companies named 'Acme' in my CRM."

02

"Assert a person record for 'Jane Doe' with email 'jane@example.com'."

03

"List all deal stages and attributes for 'Deals'."

Troubleshooting Attio MCP Server with Vercel AI SDK

Common issues when connecting Attio to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Attio + Vercel AI SDK FAQ

Common questions about integrating Attio MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Attio to Vercel AI SDK

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.