Attio MCP | OAuth Attio connector for AI agents

CALL ANY TOOL

Search records, manage contacts, update deals, and add notes. Same toolkit, every framework, no auth plumbing to maintain.

attio_records_search

Search records

Search records across object types using fuzzy text matching — people, companies, deals, or custom objects.

Parameters

Name

Type

Required

Description

query

string

Required

Search query string

object_type

string

Optional

Object type to search: people, companies, deals, or custom slug

limit

integer

Optional

Max results to return

attio_records_list

List records

attio_record_get

Get record

attio_record_update

Update record

attio_person_create

Create person

attio_note_create

Create note

Build your Agent

Drop the toolkit in, point it at the user, and your agent can search Attio records, update deals, and log notes from the first run.

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import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { z } from "zod";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["attio"], toolNames: ["attio_records_search", "attio_record_get", "attio_record_update"] },
  pageSize: 100,
});

const lcTools = tools.map((t) => new DynamicStructuredTool({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  schema: z.object({}).passthrough(),
  func: async (args) => {
    const { data } = await sk.tools.executeTool({
      toolName: t.tool.definition.name,
      identifier: "user_123",
      params: args,
    });
    return JSON.stringify(data);
  },
}));

const agent = createReactAgent({ llm, tools: lcTools });

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import { ScalekitClient } from "@scalekit-sdk/node";
import OpenAI from "openai";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["attio"], toolNames: ["attio_records_search", "attio_record_get", "attio_record_update"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  type: "function",
  function: {
    name: t.tool.definition.name,
    description: t.tool.definition.description,
    parameters: t.tool.definition.input_schema,
  },
}));

const resp = await openai.responses.create({
  model: "gpt-4o", input: prompt, tools: llmTools,
});

import { ScalekitClient } from "@scalekit-sdk/node";
import Anthropic from "@anthropic-ai/sdk";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["attio"], toolNames: ["attio_records_search", "attio_record_get", "attio_record_update"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  input_schema: t.tool.definition.input_schema,
}));

const msg = await anthropic.messages.create({
  model: "claude-sonnet-4-6", max_tokens: 1024,
  tools: llmTools,
  messages: [{ role: "user", content: prompt }],
});

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import { Agent } from "@google/adk/agents";
import {
  MCPToolset, StreamableHTTPConnectionParams,
} from "@google/adk/tools/mcp";

const toolset = new MCPToolset({
  connectionParams: new StreamableHTTPConnectionParams({
    url: "https://mcp.scalekit.com/attio",
    headers: { Authorization: `Bearer ${userScopedToken}` },
  }),
});

const agent = new Agent({
  name: "agent", model: "gemini-2.0-flash",
  tools: await toolset.getTools(),
});

Try these prompts

Paste any prompt into your agent to start pulling CRM intelligence from Attio.

Search & recall

Copy the prompt

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Find all contacts at [company name].

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Show me all open deals over $50K.

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Search for [person name] in Attio.

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List all companies in the [industry] sector.

Action & updates

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Update the deal stage for [company] to Proposal.

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Add a note to [person]'s record: [note text].

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Create a new contact: [name], [email], [company].

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Update the close date on [deal name] to [date].

Pipeline & reporting

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What deals are closing this month?

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List all contacts added in the last 7 days.

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Show me all tasks assigned to me in Attio.

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What is the total pipeline value for Q4?

SEE HOW AUTH WORKS

Users authorize Attio once. Their workspace credentials stay vaulted, every call is checked, and every action is logged.

1

Authorize

Your user connects

Attio

once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access

Who:

user ‘A’

when:

Once per user

access:

Limited to user

2

Store

Their

Attio

token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection

vault:

encrypted

scope:

per-user

tokens:

auto-refreshed

3

Resolve

When your agent calls a

Attio

tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs

speed:

~40ms

check:

before every call

seen by:

nobody

4

Audit

Every

Attio

tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it

history:

90 days

export:

SIEM-ready

logged:

every call

Test other agents

Same per-user auth pattern across other crm agents and MCP connectors. Working code, live demos, fork what fits.

SALES

Deal intelligence agent

Combine Gong, Attio, and Slack signals to surface deal risks and next-best actions. Updated after every call.

SALES

Sales call prep agent

Pull Granola notes and Attio contact history to draft a pre-call brief before every sales meeting. Zero rep input.

Granola

Attio

View agent

Why Scalekit

Secure your agent's access. Connectors ship in minutes

Other connector libraries treat auth as a demo afterthought. Scalekit starts with user identity, scope enforcement, and audit.

01.

CRM updates lose pipeline attribution

A shared Attio token looks fine in a demo. In production, every record update logs as a service account. List-level permissions collapse. Per-user pipeline visibility breaks. Scalekit resolves the credential of the actual BD or sales operator who triggered the agent, never a shared bot.

// shared bot token
token = "sk_attio_shared_xxx"
audit → bot_service_account
user_filter → broken

// scalekit · per-user
token = resolve(user_id)
audit → user_abc
scope → enforced ✓

02.

Authentication is not authorization

03.

Multi-tenancy is architectural

04.

Attio today. HubSpot, Salesforce, Apollo tomorrow.

“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”

Venu Madhav Kattagoni

Head of Engineering / Von

FAQs

Frequently Asked Questions

Does the agent access Attio as the user or as a shared key?

As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the Attio oauth 2.0 stored?

In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in Attio?

Yes. Pass a tool name filter to listScopedTools so the CRM agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Attio.

What happens when a user revokes Attio access?

The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Does the agent respect record-level permissions in Attio?

Yes. Read and write actions inherit the authorizing user's Attio role and record access. List visibility, object scope, and field-level restrictions all carry over to every agent call.

Attio

Tools your crm agent reaches for on Attio, scoped per user.