Can my AI automatically find the details and status of a specific task just by providing the Task GID?

Yes! Use the `get_task` tool with exactly the Task Global ID. Your agent will respond with complete metadata, assignee fields, and precise operational notes connected to that active ticket in seconds.

How do I easily list all the columns in an active agile sprint board?

Simply ask the agent to run the `list_sections` action on the target Project GID. It will compile all column phases (e.g., 'To Do', 'In Progress', 'QA') configured for that environment.

Does the integration permit modifying or deleting my workspace configurations?

No. The core set of tools focuses strictly on heavily querying and analyzing context—listing projects, analyzing metadata, checking tasks. State alteration operations are not currently exposed, assuring your workspaces are secure against destructive queries.

Asana MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes

Name: Asana
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 11 Tools SDK

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

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 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="Asana Assistant",
            instructions=(
                "You help users interact with Asana. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 Asana MCP Server

Connect your Asana organizational account to any AI agent and take full control of your project management workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 11 tools from Asana through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Asana, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Workspaces & Projects — List all organizational workspaces and fetch active projects directly from the Asana cloud
Task Management — Query all recorded tasks (both pending and completed) from any target project using its unique GID
Deep Task Inspection — Fetch complete metadata, descriptions, assignee fields, and precise status metrics for specific individual tasks
Board Sections — List board column groupings and stages (sections) to categorize and understand sprint workflows
User Profiling — Retrieve the underlying credentials, profile information, and authorized access of your agent's API user

The Asana MCP Server exposes 11 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 Asana to OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

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

Explore tools

The agent will automatically discover 11 tools from Asana

Why Use OpenAI Agents SDK with the Asana MCP Server

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

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

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

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

Asana + OpenAI Agents SDK Use Cases

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

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

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

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

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

Asana MCP Tools for OpenAI Agents SDK (11)

These 11 tools become available when you connect Asana to OpenAI Agents SDK via MCP:

create_task

Create a new Asana task

get_me

Get current Asana user details

get_task

Get details for a specific Asana task

list_projects

List projects in a workspace

list_sections

List sections inside an Asana project

list_stories

List activity feed (stories) for a task

list_tags

List all tags in a workspace

list_tasks

List tasks in an Asana project

list_workspaces

List Asana workspaces

search_tasks

Search for tasks in a workspace with filters

update_task

Update an existing Asana task

Example Prompts for Asana in OpenAI Agents SDK

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

"List all our active organizational workspaces on Asana."

"Can you fetch the tasks pending inside project 1205934?"

"Provide the complete details and assignee for task GID 12039402123."

Troubleshooting Asana MCP Server with OpenAI Agents SDK

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

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.

Asana + OpenAI Agents SDK FAQ

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

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.