How to Use the Attio MCP in OpenAI Agents SDK
Build production-ready CRM agents using the OpenAI Agents SDK to manage Attio records with built-in safety constraints.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Attio MCP to OpenAI Agents SDK
Create your Vinkius account to connect Attio to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Manage Attio objects with OpenAI Agents SDK
The `list_objects` and `get_object` tools expose your custom CRM schema directly to your agent. Your OpenAI client pulls the exact data structure before attempting any writes. This prevents malformed data entry during autonomous operations. You pass the schema context to the agent, ensuring it formats the payload correctly when calling `create_record` or `update_record`.
Log meeting notes and tasks automatically
The `create_note` tool attaches call summaries directly to customer profiles. Your agent processes the raw transcript and pushes the formatted result straight into the CRM. Following up requires zero manual intervention. The system immediately triggers `create_task` to assign action items to your sales reps based on the meeting outcomes.
Handle complex list entries
The `list_lists` and `get_list_entries` tools let your agent navigate custom pipelines. It reads the current state of a deal and decides if it needs attention. If a record sits idle too long, the agent can pull the full history using `list_notes` and `list_tasks`. It then generates a targeted follow-up email and logs the activity.
Set up Attio MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Attio tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Attio tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Attio tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Attio Agent",
instructions="You have access to Attio tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Attio. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Attio MCP in OpenAI Agents SDK
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