NIH RePORTER (Research Funding) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 2 tools to Search Projects and Search Publications

Name: NIH RePORTER (Research Funding)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect NIH RePORTER (Research Funding) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The NIH RePORTER (Research Funding) MCP Server for OpenAI Agents SDK is a standout in the Data Analytics category — giving your AI agent 2 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="NIH RePORTER (Research Funding) Assistant",
            instructions=(
                "You help users interact with NIH RePORTER (Research Funding). "
                "You have access to 2 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from NIH RePORTER (Research Funding)"
        )
        print(result.final_output)

asyncio.run(main())

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About NIH RePORTER (Research Funding) MCP Server

Connect to the NIH RePORTER (Research Portfolio Online Reporting Tools) to explore the vast landscape of NIH-funded research. This server allows AI agents to query project metadata, funding amounts, principal investigators, and publication records directly from the official government database.

The OpenAI Agents SDK auto-discovers all 2 tools from NIH RePORTER (Research Funding) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries NIH RePORTER (Research Funding), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Project Discovery — Search for NIH grants and projects using criteria like fiscal years, PI names, organization names, and project numbers.
Funding Analysis — Retrieve specific award amounts and filter research by agency (e.g., NIGMS, NIAID) or award ranges.
Publication Tracking — Find scientific publications linked to specific NIH applications or core project numbers using PubMed IDs.
COVID-19 Research — Filter projects specifically related to COVID-19 responses and supplemental funding.
Advanced Filtering — Use text searches, date ranges, and organizational matching to find precise research data.

The NIH RePORTER (Research Funding) MCP Server exposes 2 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 2 NIH RePORTER (Research Funding) tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to NIH RePORTER (Research Funding) through Vinkius, your AI agent gets direct access to every tool listed below — spanning nih, grants, research-funding, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

Search projects on NIH RePORTER (Research Funding)

Use this to find grants, funding amounts, PIs, and organizations. Search for NIH projects based on specified criteria

Search publications on NIH RePORTER (Research Funding)

Search for publications associated with NIH projects

Connect NIH RePORTER (Research Funding) to OpenAI Agents SDK via MCP

Follow these steps to wire NIH RePORTER (Research Funding) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 2 tools from NIH RePORTER (Research Funding)

Why Use OpenAI Agents SDK with the NIH RePORTER (Research Funding) MCP Server

OpenAI Agents SDK provides unique advantages when paired with NIH RePORTER (Research Funding) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

NIH RePORTER (Research Funding) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the NIH RePORTER (Research Funding) MCP Server delivers measurable value.

Automated workflows: build agents that query NIH RePORTER (Research Funding), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries NIH RePORTER (Research Funding), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through NIH RePORTER (Research Funding) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query NIH RePORTER (Research Funding) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for NIH RePORTER (Research Funding) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with NIH RePORTER (Research Funding) immediately.

"Search for NIH projects led by 'Anthony Fauci' in fiscal year 2020."

"Find all publications associated with core project number R01AI123456."

"List active NIH grants for 'Harvard University' with an award amount over $1,000,000."

Troubleshooting NIH RePORTER (Research Funding) MCP Server with OpenAI Agents SDK

Common issues when connecting NIH RePORTER (Research Funding) to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

NIH RePORTER (Research Funding) + OpenAI Agents SDK FAQ

Common questions about integrating NIH RePORTER (Research Funding) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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