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Nuclino MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Nuclino through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

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

        agent = Agent(
            name="Nuclino Assistant",
            instructions=(
                "You help users interact with Nuclino. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Nuclino"
        )
        print(result.final_output)

asyncio.run(main())
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* 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 Nuclino MCP Server

Connect your Nuclino account to your AI agent and seamlessly interact with your company's unified workspace for knowledge, docs, and projects.

The OpenAI Agents SDK auto-discovers all 12 tools from Nuclino through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Nuclino, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Teams & Workspaces — Rapidly list all teams you are part of, and enumerate the nested workspaces and collections to understand your organization's hierarchy.
  • Search & Query — Perform global fuzzy searches using search_items to track down specific documents, notes, or project pages across the entire knowledge base.
  • Read Items & Files — Read the exact content configuration of any item (document) via get_item, and list attachments or files uploaded to the platform.
  • Record Creation — Instantly create new items natively inside your workspace using natural language.
  • Telemetrics — Enumerate members and structural fields within your Nuclino domain to keep the agent aware of context and owners.

The Nuclino MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Nuclino to OpenAI Agents SDK via MCP

Follow these steps to integrate the Nuclino MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 12 tools from Nuclino

Why Use OpenAI Agents SDK with the Nuclino MCP Server

OpenAI Agents SDK provides unique advantages when paired with Nuclino through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Nuclino + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Nuclino MCP Server delivers measurable value.

01

Automated workflows: build agents that query Nuclino, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Nuclino, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Nuclino tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Nuclino to resolve tickets, look up records, and update statuses without human intervention

Nuclino MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Nuclino to OpenAI Agents SDK via MCP:

01

create_item

Triggers real-time replication creating permanent Wiki documentation. Write a brand new knowledge Item / Page into a Workspace

02

delete_item

Always confirm with the user heavily before destroying knowledge. Irreversibly delete a structural Nuclino Item

03

get_item

Retrieve the exact Markdown payload and configuration of an Item

04

list_collections

Used to trace the document relationship graph paths visually within a target Workspace. List Collections (grouping directories) segmenting a Workspace

05

list_fields

Used to understand standard taxonomy dimensions applicable against Items. Map customizable structured property fields globally binding a Team

06

list_files

Exposes pure URL bindings mapping binary data records back to object storage. List physical attachments explicitly bolted onto an Item

07

list_items

Used to enumerate top-level document UUIDs, titles, and creation metadata natively spanning a specific Workspace layer. List all standard knowledge items (pages) in a Workspace

08

list_teams

Use this as the entry point to discover available root organizational unit IDs traversing down into workspaces. List all organizational Teams the authenticated user belongs to

09

list_users

Enumerate human identities attached globally onto a Team

10

list_workspaces

Returns internal workspace UUIDs essential for scoping later item queries. List all isolated Workspaces mapped within a specific Team

11

search_items

Use to uncover unknown UUIDs. Execute an indexed semantic search globally across a Team

12

update_item

Alters the sync tree immediately appending new wiki edits. Overwrite active partial Markdown states inside a listed Item

Example Prompts for Nuclino in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Nuclino immediately.

01

"Search Nuclino for any documentation mentioning 'SSO Security Policies'."

02

"Create an item titled 'Project X Architecture Brief' in the Engineering workspace."

03

"List all teams connected to this authentication token."

Troubleshooting Nuclino MCP Server with OpenAI Agents SDK

Common issues when connecting Nuclino to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Nuclino + OpenAI Agents SDK FAQ

Common questions about integrating Nuclino MCP Server with OpenAI Agents SDK.

01

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.
02

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.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Nuclino to OpenAI Agents SDK

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.