Hive (Project Management) MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Hive (Project Management) through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Hive (Project Management) Assistant",
instructions=(
"You help users interact with Hive (Project Management). "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Hive (Project Management)"
)
print(result.final_output)
asyncio.run(main())
* 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 Hive (Project Management) MCP Server
Connect your Hive account to any AI agent and take full control of your project management and team collaboration through natural conversation.
The OpenAI Agents SDK auto-discovers all 7 tools from Hive (Project Management) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Hive (Project Management), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Workspace Management — List all available workspaces and navigate across different tenant environments effortlessly
- Project Tracking — Analyze grouping schemas linking large initiatives and monitor the status of team projects directly from your agent
- Action Items — Create and list operational tasks (actions), linking precise items and checking team assignments in real-time
- Detailed Inspection — Retrieve exact metadata and structural details for specific action IDs to understand progress and blockers
- Taxonomy & Labels — Discover discrete visual categorizations and taxonomy matrices used to organize your workspace items
- Workflow Templates — Enumerate active repeatable workflows and action templates to maintain process consistency across your team
The Hive (Project Management) MCP Server exposes 7 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 Hive (Project Management) to OpenAI Agents SDK via MCP
Follow these steps to integrate the Hive (Project Management) 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 7 tools from Hive (Project Management)
Why Use OpenAI Agents SDK with the Hive (Project Management) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Hive (Project Management) 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
Hive (Project Management) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Hive (Project Management) MCP Server delivers measurable value.
Automated workflows: build agents that query Hive (Project Management), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Hive (Project Management), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Hive (Project Management) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Hive (Project Management) to resolve tickets, look up records, and update statuses without human intervention
Hive (Project Management) MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Hive (Project Management) to OpenAI Agents SDK via MCP:
create_action
Create action
get_action
Get action
list_actions
List actions
list_labels
List labels
list_projects
List projects
list_templates
List action templates
list_workspaces
List workspaces
Example Prompts for Hive (Project Management) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Hive (Project Management) immediately.
"List all projects in my 'Marketing' workspace (ID: ws-marketing)"
"Create a new action called 'Finalize Budget' in workspace 'ws-finance'"
"What are the action templates available in the 'Engineering' workspace?"
Troubleshooting Hive (Project Management) MCP Server with OpenAI Agents SDK
Common issues when connecting Hive (Project Management) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Hive (Project Management) + OpenAI Agents SDK FAQ
Common questions about integrating Hive (Project Management) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
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?
Connect Hive (Project Management) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Hive (Project Management) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
