TAPD MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect TAPD 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="TAPD Assistant",
instructions=(
"You help users interact with TAPD. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from TAPD"
)
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 TAPD MCP Server
Empower your AI agent to orchestrate your agile development lifecycle with TAPD, the professional collaboration platform by Tencent. By connecting TAPD to your agent, you transform complex requirement tracking, bug management, and iteration planning into a natural conversation. Your agent can instantly list your workspaces, create new stories, track defects, and even monitor sprint progress without you ever needing to navigate the complex TAPD enterprise interface. Whether you are following Scrum or Kanban, your agent acts as a real-time product assistant, keeping your development pipeline organized and your team aligned.
The OpenAI Agents SDK auto-discovers all 10 tools from TAPD through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries TAPD, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Workspace Management — List all accessible workspaces and retrieve detailed information about your development environment.
- Requirement Tracking — Create and track stories (requirements) with full support for titles and detailed descriptions.
- Defect Management — List and create bugs to keep your quality assurance process moving efficiently.
- Task Operations — Manage granular tasks within your workspaces to stay on top of daily development activities.
- Iteration Monitoring — Browse workspace iterations (sprints) to track project milestones and delivery schedules.
- Team Overview — List workspace members to manage assignments and collaboration effectively.
The TAPD MCP Server exposes 10 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 TAPD to OpenAI Agents SDK via MCP
Follow these steps to integrate the TAPD 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 10 tools from TAPD
Why Use OpenAI Agents SDK with the TAPD MCP Server
OpenAI Agents SDK provides unique advantages when paired with TAPD 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
TAPD + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the TAPD MCP Server delivers measurable value.
Automated workflows: build agents that query TAPD, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries TAPD, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through TAPD tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query TAPD to resolve tickets, look up records, and update statuses without human intervention
TAPD MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect TAPD to OpenAI Agents SDK via MCP:
create_bug
Create a new TAPD bug
create_story
Create a new TAPD story
create_task
Create a new TAPD task
get_workspace
Get workspace details
list_bugs
List bugs in a workspace
list_iterations
List workspace iterations
list_members
List workspace members
list_stories
List stories in a workspace
list_tasks
List tasks in a workspace
list_workspaces
List all TAPD workspaces
Example Prompts for TAPD in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with TAPD immediately.
"List all my active workspaces on TAPD."
"Create a new bug in workspace 'Mobile App V2' titled 'App crashes on splash screen'."
"Show me the iterations for project 'Cloud Infrastructure'."
Troubleshooting TAPD MCP Server with OpenAI Agents SDK
Common issues when connecting TAPD to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
TAPD + OpenAI Agents SDK FAQ
Common questions about integrating TAPD 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 TAPD 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 TAPD to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.