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 LangChain 9 tools — connect in under 2 minutes

Name: Attio
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Attio through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "attio": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Attio, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Attio through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Attio MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from Attio via MCP

Why Use LangChain with the Attio MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Attio MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Attio queries for multi-turn workflows

Attio + LangChain Use Cases

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

RAG with live data: combine Attio tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Attio, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Attio tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Attio tool call, measure latency, and optimize your agent's performance

Attio MCP Tools for LangChain (9)

These 9 tools become available when you connect Attio to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Attio + LangChain FAQ

Common questions about integrating Attio MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.