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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up DevSkiller MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 DevSkiller tools in your ADK agent.
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.
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Common questions about DevSkiller MCP in Google ADK
Use it with your favorite AI tools
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Start using the DevSkiller MCP today
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