How to Use the Forgejo (Gitea Fork) MCP in AutoGen

Q: How do I configure Forgejo (Gitea Fork) for AutoGen?

Install autogen-extmcp. Use mcpservertools with your server URL and pass the resulting list to your AssistantAgent constructor.

Give your AutoGen multi-agent debate teams direct access to Forgejo (Gitea Fork).

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Connect Forgejo (Gitea Fork) MCP to AutoGen

Create your Vinkius account to connect Forgejo (Gitea Fork) 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 Forgejo (Gitea Fork) with AutoGen

Ask AI about this MCP

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Execute Workflows After Consensus

Triggering Forgejo Actions after your AutoGen agents agree on a deployment plan is the primary job of the `dispatch_workflow` tool. A security agent reviews the code, a performance agent checks the metrics, and they negotiate. Once they reach consensus, the executor agent fires the pipeline. You stop relying on a single AI making unilateral decisions. The debate catches edge cases before any code hits production. The workflow runs only when the entire agentic committee approves it.

Negotiate Token Creation

The `create_token` tool generates access keys when the multi-agent system determines a temporary script needs authentication. The security agent challenges the request, demanding a strict scope before allowing the executor to proceed. This mirrors actual DevOps workflows. The agents argue over least-privilege access. When they finally agree, the MCP Server generates the token, completes the automated task, and moves on.

AutoGen Version Compatibility Checks

Exact server specifications come straight from the `get_forgejo_version` and `get_gitea_version` tools via this MCP Server. An infrastructure agent queries the current API version and warns the deployment agent if a requested feature is unsupported. This prevents failed runs. The agents discuss the version constraints and adjust their deployment strategy accordingly. They handle the API matrix so you don't have to rewrite your automation scripts.

Setup guide

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

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

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

Install `autogen-ext[mcp]`. Use `mcp_server_tools` with your server URL and pass the resulting list to your `AssistantAgent` constructor.

Yes. You can equip a specific executor agent with the tools, or share them across the group. Assigning them to a dedicated CI/CD agent usually produces cleaner debates.

The executor agent reports the failure back to the chat. The agents will analyze the error message and debate the next troubleshooting step.

The adapter translates the tool definitions into a format AutoGen understands natively. You just pass the list and start the conversation.

The system manages generated tokens and version data. We route all traffic through isolated, stateless containers. Nothing is logged, and the environment wipes itself clean after every single call.

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