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NIH RePORTER (Research Funding) MCP Server

Bring Nih
to Mastra AI

Learn how to connect NIH RePORTER (Research Funding) to Mastra AI and start using 2 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Search ProjectsSearch Publications

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
NIH RePORTER (Research Funding)

What is the 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.

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.

How it works

  1. Subscribe to this server
  2. This is a public data service; no private API key is required for standard access, but you can configure your connection to start querying immediately.
  3. Start analyzing the NIH research portfolio from Claude, Cursor, or any MCP-compatible client.

Who is this for?

  • Academic Researchers — quickly find related work, funding history for specific labs, or publication outputs of NIH grants.
  • Data Scientists — aggregate funding trends and research outputs for bibliometric or policy analysis.
  • Grant Writers & Administrators — research successful grant examples and funding patterns within specific institutions or fields.

Built-in capabilities (2)

search_projects

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

search_publications

Search for publications associated with NIH projects

Why Mastra AI?

Mastra's agent abstraction provides a clean separation between LLM logic and NIH RePORTER (Research Funding) tool infrastructure. Connect 2 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

  • Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add NIH RePORTER (Research Funding) without touching business code

  • Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

  • TypeScript-native: full type inference for every NIH RePORTER (Research Funding) tool response with IDE autocomplete and compile-time checks

  • One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

M
See it in action

NIH RePORTER (Research Funding) in Mastra AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

NIH RePORTER (Research Funding) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect NIH RePORTER (Research Funding) to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for NIH RePORTER (Research Funding) in Mastra AI

The NIH RePORTER (Research Funding) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 2 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

NIH RePORTER (Research Funding)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures NIH RePORTER (Research Funding) for Mastra AI

Every tool call from Mastra AI to the NIH RePORTER (Research Funding) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How can I find all NIH grants awarded to a specific university?

Use the search_projects tool and provide the university name in the org_names array. You can also refine the search by adding fiscal_years to see awards for a specific period.

02

Can I see which publications resulted from a specific NIH project number?

Yes! Use the search_publications tool and enter the project identifier in the core_project_nums field. The agent will return a list of associated PubMed records.

03

Is it possible to filter research projects by funding amount?

Absolutely. The search_projects tool includes an award_amount_range parameter where you can specify min_amount and max_amount to find projects within your budget criteria.

04

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.

05

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.

06

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

07

createMCPClient not exported

Install: npm install @mastra/mcp

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