How to Use the Candid (GuideStar) MCP in Google ADK

Q: How do I limit which Candid (GuideStar) tools are exposed to my Google ADK agent?

You can use the toolnames filter in the McpToolset parameters. This lets you restrict the agent to only getcharitycheckpdf if you want to prevent other queries.

Q: Can I feed nonprofit search results into BigQuery?

Absolutely. Your agent can run searchgrants and write the structured JSON output directly to a BigQuery table using standard cloud integrations.

Feed live Candid (GuideStar) nonprofit data directly into your Gemini enterprise agents with the Google ADK.

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Connect Candid (GuideStar) MCP to Google ADK

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Setup Candid (GuideStar) with Google ADK

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Query nonprofit data with Google ADK and Gemini

The `get_nonprofit_essentials` tool pulls core registration data for any organization using its EIN directly into your Google ADK pipeline. By deploying this through the Google ADK, your Gemini models can process long tax documents alongside live API outputs in a single context window.

Real-time news and foundation tracking

The `get_nonprofit_news` tool retrieves current social sector updates about specific organizations for your Google ADK agents. Within the Google ADK framework, your agent can analyze these news feeds to flag sudden reputational risks. Combine this with `search_grants` to track where major foundations are directing their capital.

Deep due diligence with MCP Server tools

The `get_nonprofit_premier` tool exposes deep-dive financial and operational data for thorough charity vetting. Using this MCP Server, your Google ADK agent can run detailed financial health checks without manual research. You can also fetch `get_demographics` to evaluate diversity data.

Setup guide

Set up Candid (GuideStar) 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 Candid (GuideStar) 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="Candid (GuideStar)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Candid (GuideStar) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Candid (GuideStar) MCP in Google ADK

Use the McpToolset class with the server's HTTP URL. Pass this toolset directly to your LlmAgent to instantly expose tools like `search_nonprofits`.

Yes, the Google ADK allows you to run these tools within your Vertex AI pipelines. Your agent can call `verify_charity_status` during automated batch processing.

You can use the tool_names filter in the McpToolset parameters. This lets you restrict the agent to only `get_charity_check_pdf` if you want to prevent other queries.

Absolutely. Your agent can run `search_grants` and write the structured JSON output directly to a BigQuery table using standard cloud integrations.

The connection to your MCP Server is fully encrypted. All EIN and financial queries are executed in a zero-trust sandbox, leaving no persistent data trail.

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