Height (Project Management) MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Height (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="Height (Project Management) Assistant",
instructions=(
"You help users interact with Height (Project Management). "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Height (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 Height (Project Management) MCP Server
Connect your Height workspace to any AI agent and take full control of your project management workflow through natural conversation.
The OpenAI Agents SDK auto-discovers all 6 tools from Height (Project Management) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Height (Project Management), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Task Management — List, retrieve, and inspect tasks with their full metadata and structural details directly from your agent
- Lists & Grouping — Discover and manage high-level grouping constructs and lists to organize your workspace effectively
- Workspace Audit — Extract explicit workspace domains and user credentials linked to your account for quick audits
- Activity Tracking — Access full audit trails and activity logs for any task to monitor its history and state mutations
- Team Collaboration — Fetch and map registered teammates and user identities across the organization securely
The Height (Project Management) MCP Server exposes 6 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 Height (Project Management) to OpenAI Agents SDK via MCP
Follow these steps to integrate the Height (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 6 tools from Height (Project Management)
Why Use OpenAI Agents SDK with the Height (Project Management) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Height (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
Height (Project Management) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Height (Project Management) MCP Server delivers measurable value.
Automated workflows: build agents that query Height (Project Management), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Height (Project Management), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Height (Project Management) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Height (Project Management) to resolve tickets, look up records, and update statuses without human intervention
Height (Project Management) MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Height (Project Management) to OpenAI Agents SDK via MCP:
get_task
Get task
list_activities
List activities
list_lists
List lists
list_tasks
List tasks
list_users
List users
workspace
Get workspace
Example Prompts for Height (Project Management) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Height (Project Management) immediately.
"List all tasks in my 'Product Roadmap' list"
"Show me the recent activity for task T-102"
"What are the details for task T-108?"
Troubleshooting Height (Project Management) MCP Server with OpenAI Agents SDK
Common issues when connecting Height (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
Height (Project Management) + OpenAI Agents SDK FAQ
Common questions about integrating Height (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 Height (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 Height (Project Management) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
