PingCode MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add PingCode as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="pingcode_agent",
tools=tools,
system_message=(
"You help users with PingCode. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use PingCode tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the PingCode MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from PingCode automatically
Why Use AutoGen with the PingCode MCP Server
AutoGen provides unique advantages when paired with PingCode through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use PingCode tools to solve complex tasks
Role-based architecture lets you assign PingCode tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive PingCode tool calls
Code execution sandbox: AutoGen agents can write and run code that processes PingCode tool responses in an isolated environment
PingCode + AutoGen Use Cases
Practical scenarios where AutoGen combined with the PingCode MCP Server delivers measurable value.
Collaborative analysis: one agent queries PingCode while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from PingCode, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using PingCode data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process PingCode responses in a sandboxed execution environment
PingCode MCP Tools for AutoGen (10)
These 10 tools become available when you connect PingCode to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting PingCode to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"PingCode + AutoGen FAQ
Common questions about integrating PingCode MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
