How to Use the Good Grants MCP in Google ADK

Q: How do I connect the Good Grants MCP Server to my Google ADK agent?

You instantiate McpToolset with StreamableHttpServerParameters pointing to your Vinkius URL. Then, pass that toolset to your LlmAgent to instantly expose tools like listgrantfunds.

Q: Can my Google ADK agent analyze past Good Grants reviews?

Yes, your agent can call listapplicationreviews to fetch evaluator feedback. Gemini's long-context window allows it to process hundreds of reviews at once to find common rejection reasons.

Q: How do I secure write access for Good Grants in Google ADK?

Use the toolnames parameter in your McpToolset to block createnewapplication if you want a read-only agent. This locks down your account while still allowing the agent to query categories.

Connect Gemini models to your Good Grants data using the Google ADK and our MCP Server to analyze massive funding pipelines.

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Connect Good Grants MCP to Google ADK

Create your Vinkius account to connect Good Grants 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 Good Grants with Google ADK

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Analyze large fund pools with Google ADK

The `list_grant_funds` and `list_grant_categories` tools pull live funding opportunities into your Gemini model context. Your agent parses these categories alongside your internal datasets to pinpoint the exact programs you should target. This MCP Server allows your Google Cloud agents to cross-reference active funds with BigQuery data. You can feed thousands of lines of historical results directly to Gemini's long-context window for deep analysis.

Track submission status inside Google Cloud pipelines

The `list_applications` and `get_application_details` tools retrieve the full history of your organization's submissions. Your agent checks these records to update your internal tracking databases without manual intervention. By wrapping this MCP server in an `McpToolset`, you let your enterprise agents fetch detailed application files. They can then write summaries directly back into your Vertex AI pipelines.

Write and submit new applications programmatically

The `create_new_application` tool registers new proposals directly inside your account. Your Gemini agent drafts the text, validates it against requirements, and submits the finished form. You can restrict this tool's exposure by using the `tool_names` filter in your `McpToolset` configuration. This guarantees your agent only creates drafts when explicitly authorized by your workflow.

Setup guide

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

You instantiate `McpToolset` with `StreamableHttpServerParameters` pointing to your Vinkius URL. Then, pass that toolset to your `LlmAgent` to instantly expose tools like `list_grant_funds`.

Yes, your agent can call `list_application_reviews` to fetch evaluator feedback. Gemini's long-context window allows it to process hundreds of reviews at once to find common rejection reasons.

Use the `tool_names` parameter in your `McpToolset` to block `create_new_application` if you want a read-only agent. This locks down your account while still allowing the agent to query categories.

Yes, this MCP server runs on Vinkius's secure infrastructure and connects directly with your Google ADK Python code. It supports both Stdio and HTTP transports to fit your cloud architecture.

Your user accounts and draft submissions are processed in zero-trust, ephemeral V8 isolates. Your API keys are handled securely by Vinkius, ensuring your team roster never leaks to the public web.

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