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How to Use the DevSkiller MCP in Google ADK

Link DevSkiller to Google ADK to analyze assessment results alongside your enterprise data using Gemini's massive context window.

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Google ADK

Connect DevSkiller MCP to Google ADK

Create your Vinkius account to connect DevSkiller 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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Feed test data into the MCP Server

The DevSkiller MCP Server exposes your technical hiring data directly to Google's agent framework. Your LlmAgent calls `list_assessment_candidates` and loads hundreds of profiles straight into Gemini's 1M+ token context window. No chunking required. You connect this to your existing Google Cloud infrastructure. The agent cross-references data from `get_candidate_profile` with internal HR records stored in BigQuery. It finds the developers you need and ignores the noise.

Analyze complex assessment reports

The DevSkiller server pulls detailed performance metrics into your agent's context. Your Gemini agent pulls the full output from `get_candidate_assessment_report` and evaluates the actual code submissions. It reads the entire technical breakdown and summarizes the candidate's specific problem-solving approach. You control exactly what the agent can do. Pass a `tool_names` filter to your `McpToolset` to restrict access. If you only want the agent reading data, you block endpoints like `invite_candidate_to_test` entirely.

Monitor account limits automatically

This MCP Server monitors your account limits automatically. Your enterprise agent runs `get_account_metadata` to check your DevSkiller quotas before launching a massive recruitment drive. It alerts your team if you are about to hit your ceiling. The MCP integration uses standard Python patterns. You install `google-adk`, configure `StreamableHttpServerParameters`, and the agent starts tracking `list_test_invitations` over HTTP. You build autonomous HR pipelines in an afternoon.

Setup guide

Set up DevSkiller 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. 1

    Install Google ADK

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

  2. 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. 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. 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 DevSkiller 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="DevSkiller_agent",
    model="gemini-2.0-flash",
    instruction="You have access to DevSkiller tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DevSkiller. 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

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DevSkiller MCP in Google ADK

Create an `McpToolset` using your server URL. Pass it to the `tools` array when defining your LlmAgent.
You apply a `tool_names` filter during setup. This explicitly limits the agent to safe read-only tools like `list_available_tests` while blocking invitations.
Yes. You can fetch dozens of full reports using `get_candidate_assessment_report` and dump them straight into the prompt. Gemini processes the entire batch at once.
The server connects via Stdio or HTTP transports. Most cloud deployments use HTTP for isolated execution.
The system processes raw code submissions and grading rubrics. Vinkius operates a zero-trust V8 Isolate Sandbox, meaning the connection is ephemeral and tears down immediately after the Gemini agent finishes the request.

Start using the DevSkiller MCP today

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