How to Use the NIH RePORTER (Research Funding) MCP in Google ADK

Connect Gemini agents to live NIH funding data and publications using the Google ADK.

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Connect NIH RePORTER (Research Funding) MCP to Google ADK

Create your Vinkius account to connect NIH RePORTER (Research Funding) 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 NIH RePORTER (Research Funding) with Google ADK

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Map federal research dollars in BigQuery

`search_projects` pulls live NIH grant details, funding tiers, and organizational targets directly into your agent context. This tool gives your Gemini model the raw financial data it needs to analyze federal spending. Because the Google ADK runs natively on Google Cloud, you can feed these MCP tool results directly into your BigQuery tables. This lets you combine national funding trends with your internal proprietary datasets.

Analyze scientific output with Gemini

`search_publications` retrieves all academic papers linked to specific NIH grant numbers. This tool provides the raw text metadata and publication IDs required for deep academic auditing. Feeding these publications into Gemini's million-token context window allows your agent to compare thousands of papers at once. You skip the manual filtering and let the model find the patterns.

Control tool exposure using this Google ADK MCP Server

This MCP Server lets you restrict which tools are visible to your enterprise agents. You can pass a specific list of allowed tool names during the toolset initialization to lock down access. Setting up the connection requires the standard HTTP transport parameters. Your Gemini agent gets instant access to the allowed endpoints without complex authentication code.

Setup guide

Set up NIH RePORTER (Research Funding) 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 NIH RePORTER (Research Funding) 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="NIH RePORTER (Research Funding)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to NIH RePORTER (Research Funding) 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 NIH RePORTER. 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 NIH RePORTER (Research Funding) MCP in Google ADK

Install the ADK and initialize the toolset with the HTTP server parameters pointing to your Vinkius endpoint. Pass this MCP toolset directly to your agent constructor.

Yes, you can use the optional tool names filter in the toolset configuration. This prevents the agent from seeing or executing the publication search tool.

Gemini models handle large payloads easily due to their massive context windows. The ADK passes the raw JSON response directly into the model's working memory.

Yes, this setup supports both standard input/output and HTTP transports. Choose the transport that fits your deployment architecture on Google Cloud.

Your search parameters, including project IDs and investigator names, are processed in an ephemeral V8 sandbox. This MCP configuration never logs or stores your queries.

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