How to Use the Coding.net MCP in Google ADK

Q: How do I connect my Google ADK agent to a Coding.net repository?

You instantiate a McpToolset using your secure Vinkius HTTP endpoint and pass it to your LlmAgent tools parameter. This allows your Gemini models to call tools like listrepos and getrepo directly during their execution loop.

Q: Can I use the Google ADK to filter specific Coding.net tools?

Yes, you can use the toolnames filter parameter when setting up your McpToolset. This lets you expose only getissue and listissues while hiding repository write tools from your agent.

Let Gemini analyze millions of lines of code by connecting Google ADK to your Coding.net repositories.

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Connect Coding.net MCP to Google ADK

Create your Vinkius account to connect Coding.net to Google ADK 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 Coding.net with Google ADK

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Analyzing Coding.net Repositories with Google ADK

This MCP server exposes `list_repos` and `get_repo` to feed your Gemini models with real-time DevOps project structures. By wrapping this server in a `McpToolset` inside your Python code, your enterprise agents can cross-reference active repositories with datasets stored in BigQuery. Gemini's million-token context window allows the agent to ingest entire repository structures in a single prompt. You can run deep analysis on your codebase organization without hitting context limits.

Correlating Coding.net Commits with Google Cloud Data

This MCP server provides `get_commit` and `list_branches` to trace code changes alongside your deployment pipelines. Your Gemini-powered agent queries specific commits and matches them against Cloud Build logs to identify the exact change that triggered a deployment failure. Restricting tools is straightforward using the `tool_names` filter in the ADK toolset. You can limit your agent to read-only commit queries, keeping your production branches safe from unintended modifications.

Resolving Coding.net Issues Using Gemini Reasoning

This MCP server gives your enterprise agents access to `get_issue` and `list_issues` directly within your Google Cloud environment. Your agent reads complex bug reports, compares them with historical issues, and suggests fixes based on past commit patterns. Using the HTTP transport protocol ensures stable connections between your Google ADK runtime and the hosted server. Your agents can run continuously, monitoring your Coding.net projects and updating team dashboards automatically.

Setup guide

Set up Coding.net MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Coding.net tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Coding.net_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Coding.net tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Coding.net MCP in Google ADK

You instantiate a `McpToolset` using your secure Vinkius HTTP endpoint and pass it to your `LlmAgent` tools parameter. This allows your Gemini models to call tools like `list_repos` and `get_repo` directly during their execution loop.

Yes, you can use the `tool_names` filter parameter when setting up your `McpToolset`. This lets you expose only `get_issue` and `list_issues` while hiding repository write tools from your agent.

Gemini's massive context window easily processes large payloads returned by `list_projects` and `list_mrs`. The ADK passes the structured JSON directly into the model's context, allowing for deep reasoning over hundreds of DevOps projects.

Yes, the server supports both transport methods. For cloud-hosted Google ADK agents running on Vertex AI, the HTTP transport is recommended as it connects directly to the managed Vinkius endpoint without local process overhead.

Your commit messages, issue descriptions, and repository details are processed inside zero-trust V8 isolates. Vinkius acts as an ephemeral proxy, ensuring your Coding.net API keys and code metadata are never logged or stored on disk.

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