# NIH RePORTER

> Use this tool when you need to search and analyze NIH-funded research projects and publications. It solves problems related to finding detailed project information, funding data, and related publications, and provides outputs in markdown format with comprehensive details. Ideal for researchers, grant writers, and policy analysts, it offers a conversational interface to explore NIH funding data across various parameters.

Canonical page: https://skillsregistry.net/skills/nih-reporter  
JSON: https://api.skillsregistry.net/v1/skills/nih-reporter

## Description

NIH RePORTER MCP server provides a conversational interface to the National Institutes of Health's research database, allowing users to search for NIH-funded projects and publications through several specialized tools. Built with Python and the httpx library, it offers comprehensive search capabilities across fiscal years, principal investigators, organizations, funding amounts, and research categories. The implementation formats results in markdown with detailed project information including abstracts, funding details, and related publications, making it ideal for researchers, grant writers, and policy analysts who need to explore NIH funding data without leaving their AI assistant interface.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/nih-reporter)
- **Repository:** <https://github.com/jbdamask/mcp-nih-reporter>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nih-reporter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nih-reporter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nih-reporter/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt