How to Use the Codacy MCP in AutoGen

Q: How do I register Codacy MCP tools in AutoGen?

Use mcpservertools from autogen-ext to fetch the tools from your Vinkius endpoint, then pass them to your AssistantAgent constructor.

Q: Can AutoGen agents coordinate to fix Codacy issues?

Yes. One agent finds problems using searchrepositoryissues and another suggests code fixes to resolve them.

Q: How do AutoGen agents handle Codacy webhook reviews?

An agent calls listrepositorywebhooks to fetch active hooks, while a security agent reviews the endpoints to ensure they point to authorized targets.

Let AutoGen agents debate code quality issues via this MCP server using live Codacy metrics.

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Connect Codacy MCP to AutoGen

Create your Vinkius account to connect Codacy 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 Codacy with AutoGen

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Run multi-agent quality debates

Pull metrics using `get_repository_quality_analysis` while a release agent checks the project status to run multi-agent quality debates. A QA agent checks the project status, and they negotiate whether to approve a release. This consensus-driven approach prevents bad merges. The agents use hard data from your analysis tools to resolve conflicts before human eyes ever look at the pull request.

Audit webhook configurations via this MCP Server

List active endpoints with `list_repository_webhooks` to keep your notification channels clean. One agent verifies if they match your security guidelines while another checks for active endpoints. If an endpoint looks suspicious, the agents flag it for review. They handle the validation loop autonomously, reporting back only when they find a discrepancy.

Inspect profiles and teams dynamically

Call `get_my_codacy_profile` and `list_organization_members` to manage your team footprint with zero manual overhead. Agents audit who has access to your analysis reports. The agents compare this list against your company directory. They highlight inactive accounts or missing members without requiring you to write custom cron jobs.

Setup guide

Set up Codacy 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 Codacy 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="Codacy_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Use `mcp_server_tools` from `autogen-ext` to fetch the tools from your Vinkius endpoint, then pass them to your `AssistantAgent` constructor.

Yes. One agent finds problems using `search_repository_issues` and another suggests code fixes to resolve them.

An agent calls `list_repository_webhooks` to fetch active hooks, while a security agent reviews the endpoints to ensure they point to authorized targets.

Yes, AutoGen connects to the MCP host on Vinkius via streamable HTTP, giving your agents fast, reliable access to the toolset.

Your profile details and email addresses are never exposed to public models. Vinkius executes all tool calls inside a secure, ephemeral V8 sandbox, keeping your credentials isolated.

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