How to Use the NIH RePORTER (Research Funding) MCP in CrewAI
Deploy a CrewAI team to autonomously analyze NIH funding landscapes. Assign agents to find grants, review papers, and identify research trends.
Works with every AI agent you already use
…and any MCP-compatible client
Connect NIH RePORTER (Research Funding) MCP to CrewAI
Create your Vinkius account to connect NIH RePORTER (Research Funding) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Assemble a Research Analyst Crew
The `search_projects` tool is perfect for a dedicated "Grant Scout" agent in your CrewAI team. Its only job is to find grants related to a topic, like 'synthetic biology', and pass the list of project IDs to the next agent in the crew. That next agent, a "Publication Analyst," is equipped with the `search_publications` tool. It takes the project IDs from the scout and pulls all associated papers for each one. This way, your crew builds a complete picture of a research area, from funding to output.
Autonomous Competitive Analysis
Define a crew to track what other institutions are working on. An agent using `search_projects` can monitor for new grants awarded to specific organizations or PIs. It's a simple, focused task that it can do continuously. Its findings are then passed to an "Analysis Agent" that looks for trends in the funding data. This second agent might use `search_publications` to see what work is resulting from that funding. The whole process can run on its own, delivering weekly briefs without any human input.
Role-Based Tool Access for Your Crew
Your "Grant Scout" agent only needs `search_projects`. It has no business looking up publications. CrewAI lets you configure your agents so they only have access to the tools they absolutely need for their role. This MCP Server provides two distinct tools, making it easy to enforce this separation of duties. The `search_publications` tool can be exclusively assigned to your "Literature Analyst." This keeps your autonomous crew organized and efficient.
Set up NIH RePORTER (Research Funding) MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke NIH RePORTER (Research Funding) tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="NIH RePORTER (Research Funding) Analyst",
goal="Access and analyze NIH RePORTER (Research Funding) data via MCP.",
backstory="Expert analyst with direct NIH RePORTER (Research Funding) access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent NIH RePORTER (Research Funding) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="NIH RePORTER (Research Funding) Analyst",
goal="Access and analyze NIH RePORTER (Research Funding) data via MCP.",
backstory="Expert analyst with direct NIH RePORTER (Research Funding) access.",
tools=mcp_tools,
)
task = Task(
description="List recent NIH RePORTER (Research Funding) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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 CrewAI
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