How to Use the Coding.net MCP in AutoGen

Q: How do AutoGen agents access Coding.net tools?

You register the tools using the mcpservertools helper function. This automatically maps operations like listprojects to your agents. They can then call these tools during their conversations to fetch real-time data.

Q: Can I use Coding.net merge request data in an AutoGen debate?

Yes, an agent can call listmrs to pull open merge requests into the chat. The agents then discuss the changes and decide if they are ready for production. This brings automated consensus to your release process.

Q: How do I configure the Coding.net MCP Server for AutoGen?

Set up the server parameters using StreamableHttpServerParams pointing to your Vinkius URL. Pass the resulting tool list to your AssistantAgent constructor. This lets your agents query getuser and other tools right away.

Q: How does Vinkius secure my Coding.net credentials and commit history?

Your credentials and data from getcommit are protected by zero-trust network policies. Every tool execution runs in a stateless, isolated container that is wiped immediately after use. We never log or inspect the contents of your repositories.

Let your AutoGen agents debate and coordinate Coding.net project management and code reviews.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Coding.net MCP to AutoGen

Create your Vinkius account to connect Coding.net to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Coding.net with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate Coding.net code reviews with AutoGen agents

Set up a multi-agent conversation where one agent inspects code and another checks requirements. The reviewer agent calls `list_mrs` to find open merge requests. It then shares the details with the QA agent to determine if the changes meet criteria. This collaborative approach prevents bad code from slipping through. By using `get_commit`, your agents can dissect the actual changes and debate their impact. They reach a consensus before recommending a merge.

Resolve project issues through multi-agent debate

Let your agents analyze bugs together. One agent retrieves a bug report using `get_issue`, while a developer agent proposes a fix. They discuss the solution in a structured conversation loop until they agree on the best approach. You can monitor this entire debate in your terminal. The MCP Server provides the raw data, and AutoGen manages the negotiation. It turns static issue tracking into an active problem-solving session.

Map out repository structures before making changes

Avoid conflicts by letting your agents map your workspace first. An agent can call `list_repos` and `list_branches` to understand the current layout of your projects using this MCP Server. It then coordinates with other agents to choose the safest branch for new code. This pre-flight check keeps your main branch clean. The agents use `get_project` to confirm project rules before any work begins. It ensures all automated steps follow your team's workflow.

Setup guide

Set up Coding.net MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Coding.net tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Coding.net_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Coding.net data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Coding.net_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Coding.net data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Coding.net. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Coding.net now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Coding.net MCP in AutoGen

You register the tools using the `mcp_server_tools` helper function. This automatically maps operations like `list_projects` to your agents. They can then call these tools during their conversations to fetch real-time data.

Yes, an agent can call `list_mrs` to pull open merge requests into the chat. The agents then discuss the changes and decide if they are ready for production. This brings automated consensus to your release process.

Set up the server parameters using `StreamableHttpServerParams` pointing to your Vinkius URL. Pass the resulting tool list to your `AssistantAgent` constructor. This lets your agents query `get_user` and other tools right away.

Yes, the MCP tool adapter converts the server schema to the format your agents expect. You do not have to write custom parsers for tools like `get_repo`. The agents can read and write to the tools out of the box.

Your credentials and data from `get_commit` are protected by zero-trust network policies. Every tool execution runs in a stateless, isolated container that is wiped immediately after use. We never log or inspect the contents of your repositories.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript