How do I get my Attio Personal Access Token?

Log in to your Attio account, go to **Workspace Settings > Developers**, and you can create a new Personal Access Token (PAT) there.

What are 'Attributes' in Attio?

Attributes are the columns or fields on an object (e.g., Name, Email, Deal Value). You can list them using the `list_attributes` tool.

How does 'assert_record' work?

The `assert_record` tool performs an 'upsert'. It checks if a record with a specific matching attribute (like an email address) already exists. If it does, it updates it; if not, it creates a new record.

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

Name: Attio
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Attio through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Attio "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Attio?"
    )
    print(result.data)

asyncio.run(main())

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

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.

Pydantic AI validates every Attio tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from Attio with type-safe schemas

Why Use Pydantic AI with the Attio MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Attio integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Attio connection logic from agent behavior for testable, maintainable code

Attio + Pydantic AI Use Cases

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

Type-safe data pipelines: query Attio with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Attio tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Attio and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Attio responses and write comprehensive agent tests

Attio MCP Tools for Pydantic AI (9)

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

assert_record

Upsert a record (update if exists, create otherwise)

create_record

Create a new record in an object

get_account_check

Verify Attio account connection

get_object

Get metadata for a specific object

get_record

Retrieve a specific record by ID

list_attributes

List all attributes (columns) for a specific object

list_objects

List all objects (tables) in the Attio workspace

query_records

Query and filter records for a specific object

search_records

Global fuzzy search across all objects (Beta)

Example Prompts for Attio in Pydantic AI

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

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

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

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

Troubleshooting Attio MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Attio + Pydantic AI FAQ

Common questions about integrating Attio MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Attio MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.