How to Use the Gitea MCP in AutoGen

Enable multi-agent debate and consensus on Gitea repository tasks using AutoGen.

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Connect Gitea MCP to AutoGen

Create your Vinkius account to connect Gitea 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 Gitea with AutoGen

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Multi-agent Gitea decision making

Let your agents negotiate over repository tasks. One agent calls `list_pulls` to check status, while another verifies branch requirements using `list_branches`. They discuss the findings before taking action. This ensures that every move on your Gitea instance is debated and validated by your internal agent team.

Consensus-driven Gitea management

Avoid accidental changes by requiring agent agreement. When an agent suggests an update, it must use `get_repo` to confirm the target environment is correct. Other agents review the context provided by `get_org`. They only proceed once the team reaches a consensus on the task at hand.

Automated Gitea task negotiation

Assign specialized roles to your agents. A security-focused agent can use `list_issues` to flag risks, while a developer agent handles the Gitea branch cleanup. They challenge each other's reasoning. This setup forces your agents to consider multiple perspectives before they ever touch your Gitea server.

Setup guide

Set up Gitea 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 Gitea 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="Gitea_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Gitea 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 Gitea. 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 Gitea MCP in AutoGen

Pass the MCP tool adapter to your AssistantAgent constructor. The agents then automatically gain the ability to debate using Gitea operations.

They absolutely should. That is the point of the framework, as different agents can prioritize security or speed when interacting with your Gitea data.

The MCP adapter converts Gitea tool schemas automatically. Your agents see them as native functions they can call during their conversation.

It provides a single endpoint token. You plug this into the Vinkius client, and your agents share the authorized connection securely.

They handle sensitive repository configurations, branch names, and pull request details. Each tool call is logged to ensure you track exactly what the agents are discussing.

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