How to Use the GitHub MCP in AutoGen

Q: How do AutoGen agents resolve conflicts when searching GitHub?

One agent runs searchgithubcode to find implementation examples, while another analyzes them. They debate the findings in your group chat until they agree on the best code pattern.

Q: Can an AutoGen agent check my profile permissions on GitHub?

Yes, a specialized agent uses getmygithubprofile to verify its own identity and access rights. It then shares this information with the coordinator agent to plan repository tasks.

Deploy multi-agent debates over your repositories using this GitHub MCP Server in AutoGen.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect GitHub MCP to AutoGen

Create your Vinkius account to connect GitHub to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup GitHub with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Run multi-agent code reviews with AutoGen

`list_pull_requests` retrieves pending changes so your AutoGen agents can analyze them from different perspectives. A security agent reviews the diffs for vulnerabilities while a performance agent checks for bottlenecks. The agents debate the changes in a group chat, arguing over code quality and design patterns. They only approve the pull request once they reach a consensus based on the retrieved code.

Automate issue sorting via AutoGen debates

`list_repo_issues` feeds raw bug reports into an AutoGen triage conversation. A product agent and a technical lead agent discuss the priority of each issue, weighing user impact against implementation complexity. Once they agree on the priority, one agent runs `create_new_issue` to log a refined, actionable ticket with clear technical specifications. This eliminates manual triage by letting agents debate the details first.

Verify repository access across AutoGen agents

`verify_api_connection` runs at the start of your multi-agent session to ensure all agents have the required permissions. This prevents agents from failing mid-debate due to expired credentials or restricted scopes. Once verified, a coordinator agent runs `list_org_repositories` to map out the codebase layout for the other agents. The agents then divide the work, assigning specific repositories to specialized sub-agents.

Setup guide

Set up GitHub 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 GitHub 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="GitHub_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

One agent runs `search_github_code` to find implementation examples, while another analyzes them. They debate the findings in your group chat until they agree on the best code pattern.

Yes, a specialized agent uses `get_my_github_profile` to verify its own identity and access rights. It then shares this information with the coordinator agent to plan repository tasks.

Use the autogen-ext package and pass the server URL to the mcp_server_tools adapter. This automatically registers tools like `get_repository_details` for your AssistantAgent.

No, you don't have to automate everything. You can configure your AutoGen user proxy agent to require manual approval, so agents won't run `create_new_issue` until you approve it.

Your code, issue details, and pull request metadata are processed locally in your Vinkius sandbox. The MCP Server ensures that sensitive repository information is only shared between your local AutoGen agents.

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