# NIH Reporter MCP Server

> Use this tool when you need to retrieve detailed information on NIH-funded research projects, grants, and investigators through programmatic access to the NIH Reporter API. It solves problems related to searching and retrieving project abstracts, funding amounts, and organization details, allowing for natural language queries. Ideal for use cases requiring automated data extraction and analysis of NIH-funded research, with inputs including natural language queries and outputs featuring detailed project information.

Canonical page: https://skillsregistry.net/skills/jhalsey87-mcp-nih-reporter  
JSON: https://api.skillsregistry.net/v1/skills/jhalsey87-mcp-nih-reporter

## Description

Provides programmatic access to the NIH Reporter API for searching and retrieving detailed information on NIH-funded research projects, grants, and investigators. It enables AI assistants to query project abstracts, funding amounts, and organization details through natural language.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m3r4oipzcq)
- **Repository:** <https://github.com/jhalsey87/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": "jhalsey87-mcp-nih-reporter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jhalsey87-mcp-nih-reporter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jhalsey87-mcp-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