Bring Crm
to OpenAI Agents SDK
Learn how to connect Attio to OpenAI Agents SDK and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the 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.
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_recordtool 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).
Who is this for?
- Sales Teams — Quickly search for prospect details and update deal statuses during conversations.
- Account Managers — Retrieve company information and relationship history without manual dashboard navigation.
- Growth Marketers — Programmatically assert records from new leads and enrich CRM data using AI-assisted tools.
Built-in capabilities (9)
Upsert a record (update if exists, create otherwise)
Create a new record in an object
Verify Attio account connection
Get metadata for a specific object
Retrieve a specific record by ID
List all attributes (columns) for a specific object
List all objects (tables) in the Attio workspace
Query and filter records for a specific object
Global fuzzy search across all objects (Beta)
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 9 tools from Attio through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Attio, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Attio in OpenAI Agents SDK
Attio and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Attio to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Attio in OpenAI Agents SDK
The Attio 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. All 9 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Attio for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Attio MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.