How to Use the Hive (Project Management) MCP in OpenAI Agents SDK

Run production-ready Hive (Project Management) workflows using OpenAI Agents SDK with built-in guardrails and multi-agent tracing.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Hive (Project Management) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Hive (Project Management) 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.

GDPR Free for Subscribers

Setup Hive (Project Management) with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Auto-create verified tasks from client conversations

`create_action` acts as the primary mechanism for your OpenAI Agents SDK to generate new tasks in your team's tracking queue. Your agent analyzes raw conversation transcripts, extracts deliverables, and instantiates verified action items directly within your workspaces. By running this tool within the OpenAI Agents SDK framework, you get runtime safety checks that prevent the agent from spawning duplicate tasks. The system logs every execution trace to your central dashboard, giving you a clear audit trail of every modification.

Map workspaces and templates for standardized runs

This MCP Server exposes `list_templates` so your agent grabs pre-defined project blueprints without guessing the structure. Your agent uses this tool to fetch exact structures, which it then couples with `list_workspaces` to identify where the new initiatives should live. Don't let your agent hallucinate task names. This setup forces it to use your existing operational standards so you don't write custom validation code for every single run.

Retrieve and filter project actions in real time

`list_actions` exposes the entire task backlog of a project directly to your agent's context window. Your agent calls this tool alongside `list_labels` to categorize, sort, and query outstanding work items based on their current progress. This MCP setup allows your agent to run status audits and flag blocked tasks without manual human intervention. The OpenAI Agents SDK manages the token context efficiently, passing only the relevant task payloads to prevent model distraction during long runs.

Setup guide

Set up Hive (Project Management) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Hive (Project Management) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Hive (Project Management) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Hive (Project Management) tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="Hive (Project Management) Agent",
            instructions="You have access to Hive (Project Management) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hive. 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.

Connect Hive (Project Management) now

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 Hive (Project Management) MCP in OpenAI Agents SDK

You install the package using pip and initialize the server streamable HTTP class with your Vinkius endpoint. Pass the server instance directly into your Agent constructor using the mcp_servers list parameter.

Yes, you can route tasks between specialized agents. For example, a triage agent can use list_actions to find open bugs, then hand off the context to a developer agent that updates the task status.

The Vinkius platform handles the underlying connection pooling and authentication. You can also set cacheToolsList to True in your SDK configuration to prevent redundant tool discovery calls.

Yes, you can explicitly define the exposed tools in your agent setup. This prevents a specific agent from executing write operations like create_action while still allowing read operations.

Your workspace structures, actions, and custom labels are processed inside a secure V8 isolate sandbox. No project metadata is stored permanently on Vinkius, and all transit traffic uses TLS encryption.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript