3,400+ MCP servers ready to use
Vinkius

Attio MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 14 tools to Check Attio Status, Create Note, Create Record, and more

Built by Vinkius GDPR 14 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.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Attio app connector for Vercel AI SDK is a standout in the Sales Automation category — giving your AI agent 14 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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();
Attio
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

Connect your Attio account to any AI agent and take full control of your relationship management orchestration and automated CRM workflows through natural conversation.

The Vercel AI SDK gives every Attio tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Object & Record Orchestration — List and manage your entire database of CRM objects (Companies, People) programmatically, retrieving detailed attribute metadata
  • Relationship Intelligence Architecture — Programmatically query and monitor customer interactions and connection signals to maintain a perfectly coordinated sales strategy
  • Workflow & View Monitoring — Access your complete directory of CRM views and pipelines to coordinate your organizational resource allocation in real-time
  • Metadata Management — Programmatically retrieve field identifiers and record history to maintain a perfectly coordinated audit trail
  • Operational Monitoring — Verify account-level API connectivity and monitor CRM activity volume directly through your agent for perfectly coordinated service scaling

The Attio MCP Server exposes 14 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.

All 14 Attio tools available for Vercel AI SDK

When Vercel AI SDK connects to Attio through Vinkius, your AI agent gets direct access to every tool listed below — spanning crm, relationship-intelligence, data-modeling, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_attio_status

Verify Attio API connectivity

create_note

Useful for logging meeting notes, call summaries, or updates. Create a note on a record

create_record

Pass attribute values as JSON (e.g., {"name": [{"value": "Acme Corp"}]}). Create a new record

create_task

Create a new task

delete_record

This action is irreversible. Delete a record

get_list_entries

Get entries from a list

get_object

Get object schema

get_record

Get a specific record

list_lists

List all lists

list_notes

List notes on a record

list_objects

List all CRM objects

list_records

Use "companies" for companies, "people" for contacts, "deals" for deals. List records for any object

list_tasks

List all tasks

update_record

Only provided attributes are changed. Update an existing record

Connect Attio to Vercel AI SDK via MCP

Follow these steps to wire Attio into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 14 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

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

"List all records in the 'Companies' object in my Attio account and show the last 5 entries."

02

"Show the recent updates for 'John Doe' in the 'People' object."

03

"Check for any active pipelines with zero updates this week."

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.