PingCode 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 PingCode 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="PingCode Assistant",
instructions=(
"You help users interact with PingCode. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from PingCode"
)
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 PingCode MCP Server
Empower your AI agent to orchestrate your software development lifecycle with PingCode, the premier agile project management platform for R&D teams. By connecting PingCode to your agent, you transform complex issue tracking, sprint planning, and knowledge management into a natural conversation. Your agent can instantly list your agile projects, create work items, monitor sprint progress, and even retrieve wiki pages without you needing to navigate the complex PingCode dashboard. Whether you are following Scrum or Kanban, your agent acts as a real-time R&D assistant, ensuring your development pipeline is always moving and your documentation is accessible.
The OpenAI Agents SDK auto-discovers all 10 tools from PingCode through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries PingCode, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Agile Management — List agile projects and get detailed information about your development workspace.
- Work Item Control — Create and track tasks, stories, and bugs with full support for descriptions and metadata.
- Sprint & Release Tracking — Monitor active sprints and upcoming releases to stay on top of your delivery schedule.
- Knowledge Management — Browse wiki repositories and retrieve page content to access project documentation instantly.
- Team Overview — List organization teams and members to manage collaboration and assignments effectively.
The PingCode 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 PingCode to OpenAI Agents SDK via MCP
Follow these steps to integrate the PingCode 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 PingCode
Why Use OpenAI Agents SDK with the PingCode MCP Server
OpenAI Agents SDK provides unique advantages when paired with PingCode 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
PingCode + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the PingCode MCP Server delivers measurable value.
Automated workflows: build agents that query PingCode, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries PingCode, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through PingCode tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query PingCode to resolve tickets, look up records, and update statuses without human intervention
PingCode MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect PingCode to OpenAI Agents SDK via MCP:
create_work_item
Create a work item
get_project
Get project details
get_wiki_page
Get wiki page content
list_members
List organization members
list_projects
List PingCode agile projects
list_releases
List project releases
list_sprints
List project sprints
list_teams
List organization teams
list_wiki_pages
List wiki pages
list_work_items
List work items in a project
Example Prompts for PingCode in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with PingCode immediately.
"List all agile projects in my PingCode organization."
"Create a new bug item in project 'Checkout Flow' titled 'Payment timeout on mobile'."
"Retrieve the content of the wiki page 'System Architecture' from repository 'PROJ-DOCS'."
Troubleshooting PingCode MCP Server with OpenAI Agents SDK
Common issues when connecting PingCode to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
PingCode + OpenAI Agents SDK FAQ
Common questions about integrating PingCode 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 PingCode 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 PingCode to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.