How to Use the Gitee MCP in AutoGen

Q: How do I register this Gitee MCP Server in AutoGen?

Install autogen-extmcp and use mcpservertools with your Vinkius server URL. Pass the adapted tools directly into your AssistantAgent constructor.

Q: How do AutoGen agents handle Gitee API rate limits?

The agents coordinate their calls, using listuserrepos and getrepo only when necessary, preventing redundant requests during their internal debates.

Deploy AutoGen agent teams that debate, review, and manage your Gitee repositories, issues, and pull requests via this Gitee MCP Server.

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Connect Gitee MCP to AutoGen

Create your Vinkius account to connect Gitee 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.

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Setup Gitee with AutoGen

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Coordinate AutoGen Agent Debates on Gitee PRs

Let multiple AutoGen agents collaborate on your code reviews. One agent can call `list_pull_requests` to find new submissions, while a reviewer agent fetches the diffs using `get_file_content` to inspect the changes. A separate security agent can debate the implementation details before any code gets merged. They negotiate the best approach, ensuring no bad patterns slip into your Gitee branches.

Multi-Agent Triage for Gitee Issues

Set up a dedicated triage team that monitors your projects. An agent uses `list_repo_issues` to detect new bugs, while another agent queries `get_repo` to check project metadata and assignees. The agents discuss how to categorize the issue. Once they reach a consensus, one of them calls `create_issue` or updates the thread to assign the right developer based on `get_user` profiles.

Automate Gitee Operations with an AutoGen MCP Server

Bring consensus-driven automation to your development cycle using this MCP Server. Your AutoGen agents can track repository changes using `list_repo_commits` and discuss if a new release is ready. If the team agrees, one agent initiates the release sequence by calling `create_repo` or drafting a pull request. This multi-agent verification prevents accidental deployments or unauthorized changes.

Setup guide

Set up Gitee 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 Gitee 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="Gitee_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Gitee 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="Gitee_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Gitee 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 Gitee. 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.

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Common questions about Gitee MCP in AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with your Vinkius server URL. Pass the adapted tools directly into your `AssistantAgent` constructor.

Yes. A developer agent can draft changes while a critic agent reviews the files via `get_file_content`, debating the quality before calling `create_pull_request`.

The agents coordinate their calls, using `list_user_repos` and `get_repo` only when necessary, preventing redundant requests during their internal debates.

Yes, this Gitee setup supports both stdio and streamable HTTP transports, allowing seamless connection to your multi-agent runtime.

The server handles Gitee repo contents, commit logs, issue threads, and PR metadata. Security is maintained through ephemeral execution environments, ensuring your private code is never cached or exposed to external networks.

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