How to Use the HigherGov MCP in Google ADK

Q: Can I limit which HigherGov tools my Google ADK agent sees?

You define a toolnames list when setting up the toolset. This prevents the agent from running listagencies if its only job is to monitor getopportunity.

Q: Does this MCP Server work with Gemini's long context window?

Yes. You can fetch dozens of award histories via listawardees and feed the entire JSON array into Gemini. The model processes the full dataset without chunking.

Q: Can I join HigherGov data with my BigQuery tables using Google ADK?

Your agent can take the output from searchbyid and immediately execute a BigQuery insertion. The framework bridges the gap between external APIs and your internal data warehouse.

Feed millions of tokens of HigherGov procurement data straight into your Google ADK pipelines for long-context Gemini reasoning.

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Connect HigherGov MCP to Google ADK

Create your Vinkius account to connect HigherGov 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 HigherGov with Google ADK

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BigQuery Integration for Government Contracts

Your Google ADK agents can pull massive lists of federal awards using `list_contracts` and pipe them straight into BigQuery. Gemini's native Cloud infrastructure handles the data transfer over the MCP connection, letting you build historical models on defense spending without manual exports. You restrict the agent's scope by passing a tool_names filter to your McpToolset. If you only want the agent writing to BigQuery based on `get_contract` data, you simply exclude the grant and opportunity endpoints.

Long-Context Opportunity Analysis via MCP Server

Federal solicitations contain hundreds of pages of compliance requirements. Your Gemini agent runs `get_documents` to pull the entire PDF stack for a bid and drops it into a single million-token context window. The model reads the entire statement of work at once. It cross-references those requirements against your company's past performance data stored in Vertex AI, outputting a precise gap analysis before your proposal team writes a single word.

Grant Tracking for Enterprise Workflows

Researchers use `list_grants` to monitor Department of Energy funding cycles. When a new notice drops, the agent runs `get_grant` to extract the technical constraints and funding ceilings. You initialize the HTTP transport in your Google ADK script and let the framework handle the rest. The agent continuously scans the HigherGov database, alerting your Vertex AI pipelines the second a matching grant hits the public ledger.

Setup guide

Set up HigherGov 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 HigherGov 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="HigherGov_agent",
    model="gemini-2.0-flash",
    instruction="You have access to HigherGov 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 HigherGov. 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 HigherGov MCP in Google ADK

Create a StreamableHttpServerParameters object with your Vinkius URL. Wrap that in an McpToolset and pass it to your LlmAgent tools array.

You define a tool_names list when setting up the toolset. This prevents the agent from running list_agencies if its only job is to monitor get_opportunity.

Yes. You can fetch dozens of award histories via list_awardees and feed the entire JSON array into Gemini. The model processes the full dataset without chunking.

Your agent can take the output from search_by_id and immediately execute a BigQuery insertion. The framework bridges the gap between external APIs and your internal data warehouse.

The integration strictly reads federal solicitation PDFs and grant notices. Vinkius runs the connection through an ephemeral V8 isolate, meaning your proprietary BigQuery schemas never leak into the public procurement queries.

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