How to Use the Ashby MCP in Google ADK

Q: Can I restrict which Ashby tools Google ADK can access?

Yes, use the toolnames filter in the ADK setup to expose only specific endpoints like getashbycandidate.

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Connect Ashby MCP to Google ADK

Create your Vinkius account to connect Ashby 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 Ashby with Google ADK

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Long-Context Feedback Analysis

The `list_ashby_feedback` tool pulls historical interviewer notes directly into your Gemini long-context window. Google ADK lets your agent process millions of tokens of feedback text, finding patterns across hundreds of past interviews in a single run. You can cross-reference these candidate evaluations with performance data stored in BigQuery. The agent identifies which interview questions actually predict on-the-job success by comparing historical ATS files with your cloud warehouse.

Restricted Tool Access on Google ADK

The `list_ashby_users` tool exposes your recruiting team directory to your enterprise agent. Using Google ADK's native tool filtering, you can restrict your agent's access to read-only queries if you want to prevent accidental edits. This selective exposure keeps your Google Cloud environment secure. You control exactly which tools are visible to the LLM agent by passing a strict list of allowed operations to the MCP Server.

Automated Job Matching Pipelines

The `list_ashby_jobs` tool retrieves open requisitions so Gemini can match them against internal talent profiles. Google ADK runs these searches asynchronously, querying both your cloud databases and your ATS to find matches. Once a match is found, the agent uses `get_ashby_job` to pull specific requirements. It maps candidate skills directly to the open role details, generating shortlists for recruiters using our MCP Server.

Setup guide

Set up Ashby 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 Ashby 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="Ashby_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Ashby tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ashby. 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 Ashby MCP in Google ADK

Use the McpToolset class with the Vinkius HTTP transport URL and pass it to your LlmAgent instance.

Yes, use the tool_names filter in the ADK setup to expose only specific endpoints like get_ashby_candidate.

Gemini's long-context window easily ingests large payloads from list_ashby_candidates without running out of memory.

Yes, your agent can pull candidate ratings from BigQuery and update records using the MCP Server.

All candidate files stay inside your VPC and the temporary Vinkius isolate, with no external logging.

Use it with your favorite AI tools

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